Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
09/18/2026
Full time
Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
09/18/2026
Full time
Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment
Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
09/18/2026
Full time
Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to collections strategy or recovery optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
What you will do The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment. This position is remote with possible relocation required. How you will do it Business Engagement & Needs Identification Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities. Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants. Facilitate workshops and collaborative sessions to define priorities for vision system applications Solution Development & Deployment Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring. Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines. Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment. Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions. Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics. Regional Execution & Scalability Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards. Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops. Technical Leadership & Documentation Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios. Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists. Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators. Continuous Improvement & Innovation Stay current with emerging technologies in computer vision, machine learning, and industrial automation. Conduct benchmarking and share findings with global teams. Champion innovation and standardization across sites and regions. Communication & Collaboration Communicate technical concepts and project status to stakeholders at all levels, including executive leadership. Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing. To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen: Visionary thinking and technical leadership in computer vision for manufacturing. Strong business acumen and ability to translate operational needs into technical solutions. Innovation and adaptability in fast-paced, evolving environments. Effective communication and collaboration across functions, cultures, and regions. Structured planning, project management, and follow-through. What we look for Required Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. 3+ years of experience in computer vision, machine learning, or automation engineering. Experience with vision system integration in manufacturing or industrial environments. Familiarity with industrial cameras, sensors, and lighting systems. Experience deploying AI models to edge devices or cloud platforms. Proficiency in 3D CAD tools and simulation software is a plus. Experience leading cross-functional projects in international settings. FUTURE RELOCATION TO TEXAS IS REQUIRED What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
09/18/2026
Full time
What you will do The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment. This position is remote with possible relocation required. How you will do it Business Engagement & Needs Identification Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities. Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants. Facilitate workshops and collaborative sessions to define priorities for vision system applications Solution Development & Deployment Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring. Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines. Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment. Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions. Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics. Regional Execution & Scalability Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards. Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops. Technical Leadership & Documentation Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios. Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists. Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators. Continuous Improvement & Innovation Stay current with emerging technologies in computer vision, machine learning, and industrial automation. Conduct benchmarking and share findings with global teams. Champion innovation and standardization across sites and regions. Communication & Collaboration Communicate technical concepts and project status to stakeholders at all levels, including executive leadership. Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing. To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen: Visionary thinking and technical leadership in computer vision for manufacturing. Strong business acumen and ability to translate operational needs into technical solutions. Innovation and adaptability in fast-paced, evolving environments. Effective communication and collaboration across functions, cultures, and regions. Structured planning, project management, and follow-through. What we look for Required Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. 3+ years of experience in computer vision, machine learning, or automation engineering. Experience with vision system integration in manufacturing or industrial environments. Familiarity with industrial cameras, sensors, and lighting systems. Experience deploying AI models to edge devices or cloud platforms. Proficiency in 3D CAD tools and simulation software is a plus. Experience leading cross-functional projects in international settings. FUTURE RELOCATION TO TEXAS IS REQUIRED What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Date Posted: 2026-08-18 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C++, C, or other object-oriented language. Experience with hardware-software integration and embedded system testing. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
09/18/2026
Full time
Date Posted: 2026-08-18 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 We're growing fast and we want you to grow with us! We're expanding our engineering organization dramatically to meet exciting customer demand, and we're actively looking for engineers who bring strong foundational skills and a passion for solving hard problems. Industry experience in defense? Not required - we'll invest in you. If you meet the minimum qualifications, we want to talk. Apply today and take the next step in your engineering career. At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon's Software Engineering Directorate (SWE) Effectors Center (EC), we deliver innovative, mission-driven solutions to secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. This position is within the Effectors Center of the Software organization, and is an onsite role located in Tucson, AZ. What You Will Do Assist and participate in the requirements, design, development and testing of real-time embedded software, application software, and tools, to include development of new work products or enhancement of existing applications and systems. Design, code, test, integrate, and document software solutions. Participate in internal review of software components and systems. Collaborate with project managers and other professionals within Engineering. Work on problems with defined scope, schedule, and expectations. Follow established development practices and processes to maintain the configuration management of software products. Ability to obtain program access required. What You Will Learn Use new tools that will keep you state-of-the-art. Stay updated with the latest advancements in software development and missile technology to drive innovation. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of two years prior relevant experience. Experience with C++, C, or other object-oriented language. Experience with hardware-software integration and embedded system testing. Active and transferable Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. Qualifications We Prefer Knowledge of data structures and algorithms, systems software design, operating systems and architectures. Knowledge of assembly, C/C++ programming, structured programming concepts. Knowledge of object-oriented design and Unified Model Language. Knowledge of statistical and numerical methods. Interpersonal and communication skills, both verbal and written. Demonstrated ability to work effectively with colleagues and leaders in a team environment. What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Offered Based On Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location Information: This position is onsite at our campus in beautiful Tucson, AZ. Tucson has a friendly, caring, and laid-back atmosphere, combined with the innovation and energy of a metropolitan region, and recognized as one of America's 10 Best Small Cities. Surrounded by beautiful mountains, colorful Sonoran Desert landscape and majestic saguaro cacti, Tucson is blessed with some of nature's best work. Tucson is known for its bright blue skies, and with more than 310 sunny days per year, Tucson's fantastic weather lets residents enjoy the outdoors year-round. Virtual Fly Over City of Tucson & Community, YouTube Video Links "Raytheon In Tucson": ,-az-location "Tucson is Awesome": "Winter in Tucson": As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI Data Solutions Scientist in the Technology organization at USAA, you will work within our innovative Data Science team and collaborate cross-functionally with our architecture, engineering, and product partners to transform our operations and experiences while producing actionable insights to drive our association forward. As a member of our dynamic community of problem-solvers, you will tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership through scaled solutions and cloud technologies, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI, large/small language models, and advanced agent frameworks. This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier! We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business. Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assess business needs to propose/recommend analytical and modeling projects to add business value. Work with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Build and maintain a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translate complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manage project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develop best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintain expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serve as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participate in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, science and engineering, ai, or other similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis. 4+ years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4+ years of experience in Python for performing statical analysis and/or building and scoring AI/ML models Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Expertise in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring. MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. Experience guiding and mentoring junior technical staff in business interactions and model building. What sets you apart: Financial services, insurance, banking, or other highly regulated industry experience. Experience with cloud-native application development and modernization initiatives. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are looking for a highly skilled Data Scientist to join the P&C Underwriting Data Science team. This role will be tackling some of our most challenging analytical problems in P&C Underwriting by experimenting with data, prototyping statistical models, and deploying new data science products in operations. We're looking for someone with a high level of curiosity that can ask the right questions and has the technical skills to test business hypothesis quickly in an iterative way. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Tampa, FL or Colorado Springs, CO. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Risk modeling experience Experience building and deploying machine learning models in production P&C Insurance domain experience Experience solving data problems with high levels of ambiguity Experience working in a collaborative environment with multiple stakeholders Strong attention to detail Compensation range: The salary range for this position is: $114,080- $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
09/18/2026
Full time
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all lines of business within USAA. This role provides excellent opportunities to learn and contribute to a variety of exciting areas including sentiment analysis and agentic AI applications to enable USAA to provide best in class service to our members with cutting edge technology. Responsibilities include data preprocessing, model training, building APIs, and building data pipelines. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, or Plano, TX. Relocation assistance is not available for this position. What you'll do: Consults with data scientists and business partners on approaches involving ML model development and implementation. Provides technical feedback on ML solutions within technical lead community. Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases. Works with architects to influence and define ML model implementation patterns in complex environments. Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation. Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Assists in setting technical direction for the team and serves as a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience; and 6+ years of machine learning engineering, data engineering, or software development experience implementing data solutions. Extensive programming experience using Python, SQL, Java etc. Extensive data engineering experience. Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Experience completing multiple projects leveraging the agile methodology in implementing ML models. Experience leveraging ML Ops principles and implementing automated workflows. Demonstrated technical leadership experience Demonstrated ability to mentor junior members of the technical team in area of expertise. Knowledge of Data Science principles and methodologies. Knowledge of stochastic modeling, machine learning, or other advanced mathematical techniques. Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker. What sets you apart: Programming skills using FastAPI, OpenShift, Snowflake (or any similar platform), Java, etc. Financial services, insurance, banking, or other highly regulated industry experience. Experience mentoring junior developers and providing technical leadership. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all lines of business within USAA. This role provides excellent opportunities to learn and contribute to a variety of exciting areas including sentiment analysis and agentic AI applications to enable USAA to provide best in class service to our members with cutting edge technology. Responsibilities include data preprocessing, model training, building APIs, and building data pipelines. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, or Plano, TX. Relocation assistance is not available for this position. What you'll do: Consults with data scientists and business partners on approaches involving ML model development and implementation. Provides technical feedback on ML solutions within technical lead community. Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases. Works with architects to influence and define ML model implementation patterns in complex environments. Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation. Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Assists in setting technical direction for the team and serves as a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience; and 6+ years of machine learning engineering, data engineering, or software development experience implementing data solutions. Extensive programming experience using Python, SQL, Java etc. Extensive data engineering experience. Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Experience completing multiple projects leveraging the agile methodology in implementing ML models. Experience leveraging ML Ops principles and implementing automated workflows. Demonstrated technical leadership experience Demonstrated ability to mentor junior members of the technical team in area of expertise. Knowledge of Data Science principles and methodologies. Knowledge of stochastic modeling, machine learning, or other advanced mathematical techniques. Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker. What sets you apart: Programming skills using FastAPI, OpenShift, Snowflake (or any similar platform), Java, etc. Financial services, insurance, banking, or other highly regulated industry experience. Experience mentoring junior developers and providing technical leadership. US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $143,320 - $273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
09/18/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity We are seeking a AI Individual Contributor Data Scientist to drive the strategic adoption and practical application of AI, particularly Generative AI, across USAA Federal Savings Bank (USAA FSB). You will identify and implement AI solutions - whether cutting-edge industry advancements, existing solutions from other USAA lines of business, or tools that connect and integrate various platforms and IT systems - to boost productivity, automate processes, reduce costs, and create new revenue streams within the financial services context. This includes actively scouting for and evaluating external AI tools and technologies through various channels, such as professional networks and ties to academia, AI events, conferences, academic research, and a keen awareness of technological advancements, to ensure we are leveraging the most innovative solutions available. These efforts will encompass exploring AI solutions that serve as intelligent work assistants, streamlining and optimizing routine tasks for our employees, ultimately enhancing the experience and value delivered to our USAA members, while also considering the visionary potential and ethical implications of these advancements. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project milestones, risks, and impediments. Escalates potential issues that could limit project success or implementation. Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. Previous exposure to or understanding of the financial services sector is highly preferred. Compensation range: The salary range for this position is: $143,320-$273,930. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability . click apply for full job details
Institute of Foundation Models
Sunnyvale, California
Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance
09/18/2026
Full time
Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance
Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from marketing and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning recovery, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - marketing, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to marketing strategy or optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
09/18/2026
Full time
Job Description Job Description Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. We're looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok's subprime consumer lending portfolio. This role is critical to balancing growth, profitability, and losses in a fast-moving environment. You'll lead strategy development projects from marketing and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters. You'll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance In this role, you will Design, implement, and optimize strategies spanning recovery, underwriting, model monitoring, fraud, loan sizing/terms, and - especially - marketing, where disciplined segmentation and treatment testing directly move the bottom line Own policy development and changes including testing, rollout, and post-implementation monitoring Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics Cost for new account originated Default rates, Delinquency rates Loss rates and unit economics Repeat behavior and churn Recommend proactive strategy adjustments based on identified emerging risks and upsides. Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR) Mentor junior analysts and help establish best practice in data analytics for credit team Requirements Mandatory Qualifications Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. Elite quantitative & analytical skills. Proven ability to drive analytical projects and insights (3+ years experience) Strong proficiency in SQL and/or experience using Python for analysis (3+ years) Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years) Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools. Ability to work in a fast-paced, collaborative environment Strong interpersonal, leadership, and communication skills Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Desired Qualifications Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school. 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering Exposure to marketing strategy or optimization Benefits The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians Competitive salary and bonus structure Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO Company-sponsored professional development and training opportunities About the Company Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the "Tribe"). Mikinok Enterprises is an integral part of the Tribe's economic development efforts, and it is an essential provider of employment opportunities on the Tribe's reservation. Employment decisions at Mikinok are based on qualifications, ability, and merit. When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference. After considering this preference, it is Mikinok's policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. The Infrastructure Domain in Information Technology manages and maintains the platforms, services, observability capabilities, resiliency frameworks, and technology foundations that underpin the airline's digital ecosystem. This domain covers observability, IT service management, resiliency engineering, cloud platforms, integration technologies, automation, and operational excellence. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Define and drive the architectural vision and strategy for the organization, ensuring alignment with business goals and technological advancements. Lead and mentor a team of architects and engineers, fostering a culture of innovation, collaboration, and continuous improvement. Oversee the design and implementation of complex architectural projects, ensuring they meet quality, performance, and security standards. Collaborate with senior executives, business leaders, and other stakeholders to understand business needs and translate them into architectural solutions. Evaluate and recommend new technologies, tools, and methodologies to enhance the organization's architectural capabilities. Establish and enforce architectural standards, guidelines, and best practices across the organization. Identify and mitigate architectural risks, ensuring the stability and scalability of IT systems. Lead the architecture and strategic direction for observability, resiliency, and operational intelligence capabilities across the enterprise. Establish measurable standards and metrics for service health and reliability, including availability, MTTD, MTTR, and business impact reduction. Partner across infrastructure, software, security, and business domains to improve operational resilience and accelerate incident detection and recovery. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training 12+ years of experience in IT Architecture including time in senior Architecture roles Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry leadership experience Skills, Licenses & Certifications Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating Deep knowledge of enterprise architecture, cloud computing, software development, and IT infrastructure. Strong leadership skills to guide and inspire a team of engineers. Strong knowledge of emerging technologies like Al, machine learning, and cybersecurity. Excellent verbal and written communication skills to interact with stakeholders at all levels. Ability to align architectural solutions with business strategies and goals. Expertise in enterprise observability platforms, event management, telemetry strategy, and operational analytics. Strong understanding of IT Service Management (ITSM), resiliency engineering, incident management, and service reliability practices. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
09/18/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline. The Infrastructure Domain in Information Technology manages and maintains the platforms, services, observability capabilities, resiliency frameworks, and technology foundations that underpin the airline's digital ecosystem. This domain covers observability, IT service management, resiliency engineering, cloud platforms, integration technologies, automation, and operational excellence. What you'll do This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Define and drive the architectural vision and strategy for the organization, ensuring alignment with business goals and technological advancements. Lead and mentor a team of architects and engineers, fostering a culture of innovation, collaboration, and continuous improvement. Oversee the design and implementation of complex architectural projects, ensuring they meet quality, performance, and security standards. Collaborate with senior executives, business leaders, and other stakeholders to understand business needs and translate them into architectural solutions. Evaluate and recommend new technologies, tools, and methodologies to enhance the organization's architectural capabilities. Establish and enforce architectural standards, guidelines, and best practices across the organization. Identify and mitigate architectural risks, ensuring the stability and scalability of IT systems. Lead the architecture and strategic direction for observability, resiliency, and operational intelligence capabilities across the enterprise. Establish measurable standards and metrics for service health and reliability, including availability, MTTD, MTTR, and business impact reduction. Partner across infrastructure, software, security, and business domains to improve operational resilience and accelerate incident detection and recovery. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Technology, Computer Science, Information Systems, or related technical discipline, or equivalent experience/training 12+ years of experience in IT Architecture including time in senior Architecture roles Preferred Qualifications- Education & Prior Job Experience Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training Airline Industry leadership experience Skills, Licenses & Certifications Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating Deep knowledge of enterprise architecture, cloud computing, software development, and IT infrastructure. Strong leadership skills to guide and inspire a team of engineers. Strong knowledge of emerging technologies like Al, machine learning, and cybersecurity. Excellent verbal and written communication skills to interact with stakeholders at all levels. Ability to align architectural solutions with business strategies and goals. Expertise in enterprise observability platforms, event management, telemetry strategy, and operational analytics. Strong understanding of IT Service Management (ITSM), resiliency engineering, incident management, and service reliability practices. What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Celerity Consulting Group, Inc.
Walnut Creek, California
Job Title: Senior Business Analyst - Utilities FSM / ERP Implementations (Multiple positions available) Company: Celerity Consulting Group Location: Remote (work from home eligible) with the ability to travel for client meetings and workshops Salary: $100,000 - $120,000 annually DOE Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients. Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency. Key Responsibilities: Requirements Gathering and Analysis: Engage with clients to understand and document their business processes, needs, and objectives related to field service operations. Analyze and translate business requirements into functional specifications for enterprise solutions. Conduct gap analyses to identify areas where current systems fall short of client needs. Solution Design and Implementation: Collaborate with technical teams to design solutions that align with client requirements and industry best practices. Assist in configuring and customizing tools to meet specific client needs. Develop and execute test plans to ensure solutions meet specified requirements and quality standards. Stakeholder Communication and Management: Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle. Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in. Prepare and deliver presentations and reports to clients and internal stakeholders. Process Improvement and Optimization: Identify opportunities to enhance client business processes through the effective use of FSM solutions. Recommend best practices and innovative solutions to improve field service operations and efficiency. Monitor solution performance and suggest enhancements based on data analysis and client feedback. Testing Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases. Experience logging, tracking, prioritizing and validating defects. Experience guiding new users through individual and collaborative UAT sessions. Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project. Training and Support: Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions. Provide ongoing support to clients' post-implementation to address issues and optimize solution usage Educational Qualifications: Bachelor's degree in Business Administration, Information Technology, Engineering, or a related field required. Advanced degree (MBA or Master's) is preferred. Required Skills and Experience: Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions. Demonstrated experience in requirements gathering, process analysis, and solution implementation. Hands-on experience with SQL to access, retrieve, manipulate, and analyze data. Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools. Strong understanding of utility operations, asset management, and field service management (REQUIRED) Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions. Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. Strong project management skills, with the ability to manage multiple priorities and meet deadlines. Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.) Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements. Preferred Skills: Consulting background with experience in client-facing roles and managing stakeholder relationships. Proficiency in using FSM software platforms a plus. Familiarity with GIS integration and mobile workforce management solutions. Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management. Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP). The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate's qualifications and alignment with the role. In accordance with applicable pay transparency laws-including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions-we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request. This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws. Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes: HEALTH & WELL-BEING Medical Insurance Dental Insurance Vision Insurance PEACE OF MIND Disability Insurance (STD/LTD) Flexible Spending Account Health Savings Account Basic Life/AD&D 401(k) plan WORK/LIFE BALANCE Paid Time Off Company Holidays Leave of Absence Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS Employee Referral Program Professional Development Charitable Contribution Match Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field. See full details and meet our leadership team on our website: Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans' status or other status protected by applicable law. Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time. Powered by JazzHR Compensation details: 00 Yearly Salary PI655153e9b5-
09/17/2026
Full time
Job Title: Senior Business Analyst - Utilities FSM / ERP Implementations (Multiple positions available) Company: Celerity Consulting Group Location: Remote (work from home eligible) with the ability to travel for client meetings and workshops Salary: $100,000 - $120,000 annually DOE Company Overview: Celerity is a consulting firm specializing in the utilities and energy sectors. We empower organizations by converting complex data into actionable intelligence to mitigate risk, optimize assets, and maximize project outcomes. Our background and expertise enable us to drive and deliver transformation and operational excellence for our clients. Our background and expertise also enable us to implement enterprise systems & solutions, driving digital transformation and operational excellence for our clients. Position Overview: We are seeking a Senior Business Analyst with over 8 years of experience in implementing projects for enterprise systems (ERPs, CRMs, FSM, etc.) and a strong background in the utilities/energy/telecom industries. The ideal candidate will play a pivotal role in analyzing client business processes, identifying requirements, and implementing solutions to enhance operational efficiency. Key Responsibilities: Requirements Gathering and Analysis: Engage with clients to understand and document their business processes, needs, and objectives related to field service operations. Analyze and translate business requirements into functional specifications for enterprise solutions. Conduct gap analyses to identify areas where current systems fall short of client needs. Solution Design and Implementation: Collaborate with technical teams to design solutions that align with client requirements and industry best practices. Assist in configuring and customizing tools to meet specific client needs. Develop and execute test plans to ensure solutions meet specified requirements and quality standards. Stakeholder Communication and Management: Serve as a liaison between clients, project managers, and technical teams to ensure clear communication and alignment throughout the project lifecycle. Facilitate workshops and meetings to gather requirements, present solutions, and obtain stakeholder buy-in. Prepare and deliver presentations and reports to clients and internal stakeholders. Process Improvement and Optimization: Identify opportunities to enhance client business processes through the effective use of FSM solutions. Recommend best practices and innovative solutions to improve field service operations and efficiency. Monitor solution performance and suggest enhancements based on data analysis and client feedback. Testing Hands on experience writing detailed user stories, test cases and executing tests. Should have an eye for details and be familiar with arduous test cases. Experience logging, tracking, prioritizing and validating defects. Experience guiding new users through individual and collaborative UAT sessions. Should be familiar with navigating difficult conversations with users when bugs are uncovered or business needs are deprioritized for the scope of the project. Training and Support: Develop training materials and conduct training sessions for clients to ensure successful adoption of enterprise solutions. Provide ongoing support to clients' post-implementation to address issues and optimize solution usage Educational Qualifications: Bachelor's degree in Business Administration, Information Technology, Engineering, or a related field required. Advanced degree (MBA or Master's) is preferred. Required Skills and Experience: Minimum of 7 years of experience as a Business Analyst, with a focus on Enterprise Field Service Management and mobile workforce solutions. Demonstrated experience in requirements gathering, process analysis, and solution implementation. Hands-on experience with SQL to access, retrieve, manipulate, and analyze data. Hands-on experience with Jira, Confluence, MS SharePoint, Process design tools (Vizio, Signavio, etc.) and similar PMO tools. Strong understanding of utility operations, asset management, and field service management (REQUIRED) Excellent analytical and problem-solving skills, with the ability to think critically and propose effective solutions. Exceptional communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. Strong project management skills, with the ability to manage multiple priorities and meet deadlines. Familiarity with business integration requirements across technology stack (ERP, CRM, CIS, BI, Datawarehouse, etc.) Ability to travel to client sites (domestic and(or) international) as required and defined per project requirements. Preferred Skills: Consulting background with experience in client-facing roles and managing stakeholder relationships. Proficiency in using FSM software platforms a plus. Familiarity with GIS integration and mobile workforce management solutions. Knowledge of emerging technologies such as IoT, AI, and Machine Learning as they apply to Field Service Management. Professional certifications related to Business Analysis (e.g., CBAP) or Project Management (e.g., PMP). The salary range for this position is provided in good faith and is subject to variation based on geographic location, candidate experience, and market conditions. Final compensation will be determined after a comprehensive evaluation of the candidate's qualifications and alignment with the role. In accordance with applicable pay transparency laws-including but not limited to those in California, Colorado, New York, Washington, and other jurisdictions-we disclose salary ranges to promote equity and transparency. Where required by law, compensation and benefits information will be included in job postings or made available upon request. This job description outlines the primary responsibilities and standards of the position but is not exhaustive. Employees may be asked to perform additional duties that are reasonably related to their role and consistent with company policies and applicable labor laws. Employee welfare and development is important to us, and we sponsor many activities outside of work to promote team building as well as sponsor formal training and certification. We are proud to offer a comprehensive health and welfare benefit package that includes: HEALTH & WELL-BEING Medical Insurance Dental Insurance Vision Insurance PEACE OF MIND Disability Insurance (STD/LTD) Flexible Spending Account Health Savings Account Basic Life/AD&D 401(k) plan WORK/LIFE BALANCE Paid Time Off Company Holidays Leave of Absence Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS Employee Referral Program Professional Development Charitable Contribution Match Based in Walnut Creek, CA with offices nationwide, Celerity energy engineers perform a critical, leadership role as strategic liaisons between data, assets and the teams that make projects happen in the field. See full details and meet our leadership team on our website: Celerity is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veterans' status or other status protected by applicable law. Pursuant to the Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position is open to individuals who are currently authorized to work in the United States on a full-time basis. Unfortunately, we are unable to sponsor or assume sponsorship of employment visas at this time. Powered by JazzHR Compensation details: 00 Yearly Salary PI655153e9b5-
