303 jobs found

ML/AI Programmer - Build Practical AI Skills Employers Understand AI is one of the most exciting areas in tech, but employers are not simply looking for candidates who have watched AI videos or completed a few notebooks. They want programmers who understand data, write clean Python code, evaluate models, connect AI work to applications, and explain results clearly. For entry-level candidates, practical proof matters. SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines, automation, and AI application development. This role is ideal for motivated learners who want to build a stronger foundation for AI-related software and data roles. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? SynergisticIT JOPP is good for ML/AI candidates because it helps them move beyond theory and build a job-ready profile. Candidates can focus on practical projects, employer-aligned skills, technical interview preparation, and resume positioning that shows they can apply AI concepts in real-world contexts. If you want to turn AI interest into practical career preparation, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

DCS has an exciting opportunity for a Senior Systems Engineer providing support to the Command, Control, Communications, and Battle Management Division (C3BM). Command, Control, Communications, and Battle Management (C3BM) has been tasked with delivering an integrated Department of the Air Force (DAF) Battle Network providing resilient decision advantage and enabling the USAF, USSF, Joint, and Coalition Force to win against the pacing challenge. C3BM supports execution in many different focus areas. C3BM's main efforts are Architecture and Systems Engineering (ASE), Operational Response Team (ORT), and multiple mission integration teams such as Air, Maritime, and multiple acquisitions consisting of both the Advanced Battle Management System (ABMS) and Space. The selected candidate will provide systems engineering support across the acquisition lifecycle and will be aligned to the Air Mission Integration Team (MIT). The MIT is responsible for translating operational requirements into technical solutions, developing integrated architectures, assessing and mitigating risks, supporting acquisition execution strategies, and coordinating test and evaluation activities to ensure capabilities are delivered to operational users. This is a full-time position located at Hanscom AFB, Bedford, MA and is 100% onsite. Essential Job Functions: This position provides the opportunity to work on some of the most dynamic, unique, and important programs supporting the United States Air Force. The selected candidate will work directly with senior leadership while supporting critical mission integration efforts that help shape the future of the DAF Battle Network and create opportunities for professional growth and development. Provide systems engineering support throughout the acquisition lifecycle, including requirements analysis, system design, integration, sustainment, and disposal activities. Support Mission Integration Team (MIT) activities by translating operational and functional requirements into technical requirements. Participate in architecture definition efforts to ensure integration and interoperability across the DAF C3BM enterprise architecture. Review current DoD architecture models and support development of future-state architectures that enable sensor-to-shooter connectivity. Support risk assessments and collaborate with stakeholders to identify and mitigate technical and programmatic risks. Assist in developing execution management strategies and transition capability requirements to the acquisition community. Support development of test and evaluation strategies in coordination with acquisition and test organizations. Drive interoperability and integration efforts across Program Executive Offices (PEOs) and weapon systems. Capture and analyze current and future operational architectures based on mission and engagement scenarios. Engage with joint and coalition stakeholders to support development of integrated multi-domain architectures. Support identification, assessment, and maturation of innovative concepts through analysis, modeling, simulation, and systems engineering activities. Prepare and support technical briefings, engineering documentation, reports, and recommendations for Government leadership. Required Skills: Due to the sensitivity of the customer, U.S. citizenship is required. Must have and be able to maintain a Top-Secret level clearance and have current SCI eligibility. BA/BS degree and 10+ years of experience, with at least five years supporting DoD programs. Systems Engineering across the acquisition lifecycle. Systems Architecture and Integration. Requirements Analysis and Development. Mission Integration and System-of-Systems Engineering. Operational Analysis and Architecture Development. Cloud-based systems, including management and projection of cost and performance. Agile methodologies, CI/CD, DevSecOps, and DevOps principles. Knowledge of systems acquisition and program management processes as defined in DoDI 5000.02 and DoDI 5000.75. Modeling, Simulation, and Analysis. Technical Documentation and Brief Development. Salary Range $90,220-$175,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits

Genesis10 is currently seeking an IT Support Technician for a direct hire position with a Global Industrial Equipment Manufacturer located in Kent, OH. Must be able to go on site 5 days a week. Salary range $50-58K depending on experience. This position is primarily responsible for providing technical assistance on computers and other Information Technology related peripherals, serving as the first point of contact for company employees. The role involves hands-on Tier 2 support for hardware, software, and network infrastructure within a multi-site Microsoft environment. Responsibilities: Provide Technical Help Desk Support as the first point of contact for hardware, software, operating system, network, ERP, website, and application issues Manage IT Hardware, Software & Assets including maintenance, configuration, upgrades, and deployment of desktops, laptops, printers, and peripherals Support Systems, User Accounts & Network Infrastructure, assisting with Active Directory, user accounts, permissions, and LAN/WAN connectivity Support ERP & Business Systems Projects by documenting processes, assisting with upgrades and testing, and developing end-user training materials Manage Physical Access & Security Systems, including door access controls, badges, and key fobs Manage Telecommunications & Printing Infrastructure, administering the company VoIP/PBX phone system and enterprise printer/copier fleet Maintain Critical Facility IT-Related Systems such as the company generator and supporting infrastructure Coordinate IT Projects & Operational Activities by tracking milestones, deliverables, and timelines Manage IT Vendors & Service Providers, serving as the primary contact for upgrades, repairs, and maintenance Requirements: High school diploma or general education degree (GED) Knowledge of computer hardware, ERP systems, spreadsheet software, and word processing software Basic knowledge of servers, Active Directory, Exchange, and SQL Ability to set up and configure PCs, printers, peripherals, and networking equipment Experience providing onsite and remote troubleshooting and technical support Strong customer service mindset and problem-solving skills Ability to write reports, business correspondence, and procedure manuals Pay range: $50,000 - $60,000 per year Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Information Job Title D ata Architect Home Department: I nformation Technology Employment Status: Exempt; Full-time Schedule: Flexible Scheduling Opportunities Position Location: Remote/ Hybrid (commutable distance to home office in Fond du Lac, WI) This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities. About the Role Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs. Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions. Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design. Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting. Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains. Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems. Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards. Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation. Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles. Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs). Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization. Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability. Ensures alignment between data, application, and infrastructure architecture. Participates in Agile/PI Planning to align teams to a shared technical direction and standards. Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering. About Yo u You are analytical and connect data across systems to support business insight and decision-making. You are creative and innovative and identifies better ways to organize, integrate, and govern data. You are driven by an underlying curiosity and desire to know more about things, people, or issues. You take ownership of challenges and drive improvements in architecture, standards, and processes. You quickly apply new knowledge, tools, and ideas to solve business and data challenges. You enjoy managing the efficiency, accuracy, and integrity of the work that you produce. You effectively prioritize work, manage multiple responsibilities, and meet deadlines. What it Will Take Bachelor's degree in computer science, engineering, or related field. 8+ years of experience in data architecture, data engineering, or data platform design. Strong experience designing and implementing data pipelines, data lakes, and data warehouses. Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.) Deep understanding of data modeling, ETL/ELT patterns, and data integration. Experience implementing data architecture aligned to business and analytics needs. Strong collaboration skills across business, architecture, and engineering teams. Expertise in one or more of the following, but with versatility to grow in other areas: Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL) Azure SQL Databases Azure Blob storage Azure App Services Microsoft Azure Synapse, Data Factory & Fabric Microsoft stack of Business Intelligence Tools (Power BI) Data Modeling (Idera ERStudio) Data Warehouse Design Data Analytics Concepts Strong organizational skills. Demonstrated success in managing and/or completing projects. SAFe Agile Delivery experience highly desirable. What Society Can Offer Comprehensive Benefits Package : Salary with bonus plan; health, dental, life, and vision insurance Retirement : Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance : Company-paid holidays; flexible scheduling; PTO; telecommuting options Education : Career Coaching; company-paid courses; student loan and tuition reimbursement Community : Charitable Match; paid volunteer time; team sponsorships Wellness : Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. PIec8e8137dced-1158

For over two decades, Aspirion has delivered market-leading revenue cycle services. We specialize in collecting challenging payments from third-party payers, focusing on complex denials, aged accounts receivables, motor vehicle accident, workers' compensation, Veterans Affairs, and out-of-state Medicaid. At the core of our success is our highly valued team of over 1,400 teammates as reflected in one of our core guiding principles, "Our teammates are the foundation of our success." United by a shared commitment to client excellence, we focus on achieving outstanding outcomes for our clients, aiming to consistently provide the highest revenue yield in the shortest possible time. We are committed to creating a results-oriented work environment that is both challenging and rewarding, fostering flexibility, and encouraging personal and professional growth. Joining Aspirion means becoming a part of an industry leading team, where you will have the opportunity to engage with innovative technology, collaborate with a diverse and talented team, and contribute to the success of our hospital and health system partners. Aspirion maintains a strong partnership with Linden Capital Partners, serving as our trusted private equity sponsor. We are seeking an engaged and driven Healthcare Analyst for our Zero Balance team. As a Healthcare Analyst, you will work closely with your team on assigned project(s) to be a trusted point of contact for our clients and team members. The Healthcare Analyst will support the success of the Zero Balance department by evaluating and reviewing contracts between hospitals and insurance carriers and researching trends and why underpayments are occurring. The ideal candidate for this position will have a demonstrated interest in healthcare and a desire to strengthen their analytical, team, leadership, and client relations skills. What you will do Review and interpret hospital contracts with insurance carriers, model claims data, and identify reimbursement discrepancies and revenue recovery opportunities. Research and monitor federal, state, and payer-specific regulations related to hospital reimbursement methodologies; collaborate with technical teams to develop and implement audit flags that identify emerging underpayment trends. Analyze large and complex healthcare claims data sets to identify underpayment, denial, and reimbursement variance trends. Evaluate contract modeling results and validate payment variances by analyzing claim-level data, determining scope, recoverability, and appropriateness for zero-balance audit review. Identify, analyze, and communicate underpayment trends and revenue recovery opportunities; partner with Customer Success and Client Performance teams to ensure appropriate claims are routed through the recovery pipeline. Provide revenue intelligence and operational insights to support client performance initiatives, reimbursement optimization, and strategic decision-making. Identify underpayment and denial root causes and assign appropriate denial categories (e.g., authorization, eligibility, coding, medical necessity, timely filing, registration, billing, payer processing). Review documentation from payer portals, client systems, provider notes, explanation of benefits (EOBs), remittance advice, and other sources to understand account history and claim status, communicate with insurance carriers and internal stakeholders as needed to clarify claim status, and support the development of comprehensive appeal submissions. Maintain accurate documentation of denial actions, findings, and escalation activities. Prioritize denials based on financial impact, aging, contractual requirements, and appeal deadlines. Route denied claims to the appropriate resolution pathway based on denial type, payer requirements, and supporting documentation. Adapt quickly to new technologies, software platforms, automation tools, reporting systems, and process enhancements in a rapidly evolving operational environment. Ensure compliance with payer guidelines, regulatory requirements, and organizational policies. Work independently and collaboratively to achieve productivity and quality goals. Follow organizational policies, payer guidelines, and regulatory requirements including HIPAA. What you will bring High school diploma or equivalent required Strong analytical and critical thinking skills with the ability to evaluate denial root causes Strong written and verbal communication skills Ability to multi-task and manage competing priorities Proven ability to learn and adopt new technologies, software applications, and operational processes quickly Ability to research and interpret insurance information and benefits Strong attention to detail and accuracy in documentation Ability to work independently in a fast-paced environment Reliable attendance and consistent performance What we would like to see Bachelor's degree preferred or equivalent combination of education and experience. Prior experience in healthcare revenue cycle or denial management environments. Experience with denial analytics platforms and payer portal navigation. Experience in identifying denial root causes and applying critical thinking to support accurate triage and routing. Familiarity with insurance carriers and payer guidelines. Demonstrated ability to identify trends and process improvement opportunities. Experience working in a productivity and quality metrics-driven environment. Remote work experience in a structured environment. Experience working with EMR systems such as Epic or similar platforms. Core expectations Demonstrate integrity and ethics in day-to-day tasks and decision making, operate effectively in the environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities Support Compliance Program by adhering to policies and procedures pertaining to HIPAA, GLBA, FCRA, and other laws applicable to business practices; this includes becoming familiar with Code of Ethics, attending training as required, notifying management when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations US remote-based colleagues are not permitted to work from a location outside of the United States, at any time, without prior, written approval. Fully remote position. Compensation details: 25-32 Hourly Wage PIc5c584be4e73-6564

At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! The Role The Director, Data Quality and Process, External Data Clinical Data Management, is a strategic leadership role responsible for defining and driving the vision for external data quality, operational excellence, vendor oversight, and process standardization across Genmab's global clinical development portfolio. As a member of the External Data Management Leadership Team, this role partners closely with Clinical Data Management, Clinical Operations, Biomarker Operations, Medical, Biostatistics, Clinical Programming, Regulatory, and external partners to ensure efficient acquisition, integration, quality, and governance of external clinical data throughout the study lifecycle. The Director establishes scalable processes, drives continuous improvement, ensures inspection readiness, and leads enterprise initiatives that strengthen quality, consistency, compliance, and operational execution across all clinical programs. Responsibilities 1. Strategic Leadership and Portfolio Governance Serve as the functional leader for External Data Quality and Process across the clinical development portfolio. Develop and execute the strategic roadmap for external data quality, operational excellence, and process governance. Drive portfolio consistency through standardized processes, governance models, metrics, and best practices. Lead cross-functional initiatives supporting organizational growth, scalability, and operational excellence. Provide strategic recommendations to senior leadership regarding external data strategy, operational risks, and quality improvements. Champion a culture of continuous improvement and operational excellence across Development Operations. 2. External Data Quality and Process Excellence Lead development, implementation, and governance of external data management processes, standards, SOPs, work instructions, and guidance documents. Ensure consistent implementation of external data standards across all studies and vendors. Drive initiatives that improve data quality, streamline external data flows, reduce operational risk, and enhance inspection readiness. Lead lessons learned activities and translate findings into sustainable process improvements. Evaluate emerging technologies, automation, AI solutions, and industry best practices to improve operational efficiency. 3. Vendor Strategy and Operational Oversight Provide strategic oversight of CROs and external data vendors supporting clinical trials. Develop vendor oversight models, KPIs, KQIs, governance processes, and performance metrics. Lead vendor qualification activities, RFP evaluations, bid defenses, and review of Statements of Work. Partner with vendors to improve quality, operational consistency, issue resolution, and innovation. Ensure vendor processes align with Genmab standards and regulatory expectations. Escalate significant operational risks and drive resolution through governance committees when appropriate. 4. Cross-functional Leadership Build strong partnerships across Clinical Data Management, Clinical Operations, Medical, Biomarker Operations, Clinical Programming, Biostatistics, Regulatory, Quality Assurance, and Development Operations. Lead cross-functional governance meetings supporting external data strategy and execution. Ensure alignment between business processes, technology solutions, and operational objectives. Influence organizational decision-making by providing expertise in external data management and operational risk. 5. Inspection-Readiness, Quality and Compliance Lead inspection readiness strategy for External Data Management. Ensure external data processes comply with ICH-GCP, GCDMP, regulatory guidance, and Genmab quality standards. Support regulatory inspections, audits, root cause analyses, CAPAs, and continuous quality improvement activities. Monitor portfolio quality trends and implement proactive mitigation strategies. 6. Operational Excellence and Knowledge Management Develop portfolio-wide onboarding programs and role-based training. Lead development of functional playbooks, guidance documents, templates, and standards libraries. Promote knowledge sharing and consistency across internal teams and external partners. Mentor team members and contribute to development of future leaders within External Data Management. Foster a collaborative environment focused on innovation, accountability, and continuous learning. Additional Responsibilities: Drive alignment meetings within the data management group to ensure consistency of data management practices across trials within an asset and/or within the trials conducted by a DM vendor/partner Represent Clinical Data Management on cross-functional governance committees. Represent Genmab on industry initiatives and external working groups as appropriate. Maintain awareness of evolving industry trends, technologies, regulatory expectations, and best practices. Support departmental objectives and strategic initiatives as assigned. Serve as Subject Matter Expert for External Data Quality Management. Requirements Bachelor's degree in a scientific, technical, or health-related field; advanced degree (MS, PhD) preferred. Minimum 15+ years of clinical research or clinical data management experience. Minimum 5 years in strategic leadership within Clinical Data Management or External Data Management. Extensive experience managing external clinical data including laboratories, imaging, eCOA, IRT, biomarkers, wearables, and other third-party data sources. Experience leading global CRO and vendor oversight. Experience developing clinical data management standards, processes, and governance. Experience supporting regulatory inspections and submission readiness. Strong understanding of end to end trial conduct Strong Project Management capability, strategic planning and portfolio thinking Operational excellence and process improvement mindset Cross functional alignment and communication Problem solving, critical thinking and decision making Knowledge of EDC systems, ICH GCP, GDMP, and regulatory expectations Oncology experience strongly preferred. For US based candidates, the proposed salary band for this position is as follows: $189,200.00 $283,800.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific . click apply for full job details

Sager Electronics is looking for a hands-on, technically skilled eCommerce Platform Specialist to help power and evolve our digital experience. This role is critical to optimizing our B2B eCommerce ecosystem from platform configuration and search tuning to SEO and emerging AI-driven discovery. You'll work at the intersection of technology, analytics, and customer experience, partnering with IT, marketing, and external developers to continuously enhance our eCommerce performance. Location: Norwell, Massachusetts or Lewisville, Texas Hybrid Schedule with three in office days each week What You'll Do: eCommerce Platform Administration Configure and maintain our eCommerce platform, CMS, and search/recommendation tools Execute platform updates, enhancements, and feature implementations Monitor system performance and identify opportunities for optimization Search & Product Discovery Optimization Tune onsite search (relevance, ranking, synonyms, facets, and merchandising rules) Optimize product recommendations and personalization logic Analyze search behavior to continuously improve product discovery SEO & AI Answer Engine Optimization Execute technical SEO initiatives (site structure, metadata, indexing, page speed) Implement and manage structured data/schema markup Optimize site content and architecture for AI-driven search and answer engines Partner cross-functionally with content and marketing teams Technical Project Execution Collaborate with IT to implement integrations, upgrades, and enhancements Translate business needs into detailed technical requirements Support testing, QA, and deployment of platform changes External Partner Coordination Serve as the primary contact for external development partners Provide clear requirements and ensure high-quality execution Assist with sprint planning, backlog management, and issue resolution Analytics & Optimization Monitor KPIs across site performance, search effectiveness, and SEO Use data and user behavior insights to identify opportunities Support A/B testing and continuous experimentation What We ' re Looking For: 5-8+ years of hands-on experience with eCommerce platforms and digital technologies Experience with enterprise platforms (e.g., Oracle Commerce or similar) Strong knowledge of CMS platforms and search/recommendation engines Proven experience with technical SEO and site optimization Familiarity with structured data, schema markup, and AI-driven search trends Experience working with APIs, integrations, and technical requirements Comfortable in Agile environments working alongside IT and development teams Skills: Strong understanding of B2B eCommerce environments Working knowledge of HTML/CSS and basic web technologies (Node.js a plus) Analytical mindset with the ability to turn data into action Excellent communication skills (technical + business audiences) Strong organization and project management ability Detail-oriented with a focus on quality and execution Collaborative, team-first mindset with internal and external partners Compensation: Annual Base Salary Range: $103,800 - 126,800 Actual compensation may vary based on factors such as geographic location, experience, education, and skill level. Final base salary and bonus details will be confirmed at the time of offer. Why Join Us? At Sager Electronics, we value our team members and strive to provide a comprehensive benefits package for full-time employees. Here is what you can expect: Medical, dental, and vision insurance to keep you and your family healthy 401(k)/Roth plan with matching, ensuring your financial future is secure Healthcare Savings Accounts for added flexibility in managing medical expenses Educational Assistance (Tuition Reimbursement) to support your ongoing learning and development Continuous training opportunities throughout your employment, empowering you to grow both personally and professionally A strong commitment to giving back to our communities through philanthropic opportunities and volunteer hours We understand the importance of work-life balance, and our Paid Time Off is designed to support our employees' well-being Sager Electronics, a TTI, Inc. Company, is a North American distributor of Interconnect, Power and Electromechanical components from leading manufacturers worldwide and a provider of custom value-add solutions. Grounded in over 135 years of innovation and service, Sager Electronics provides customers and suppliers a unique combination of operational excellence and innovative business solutions through its Distributing Confidence business model. Headquartered in Middleborough, MA, Sager operates a national network of field sales representatives and power systems sales engineers, ten strategically located service centers, and a value-added Custom Solutions Center in Lewisville, TX. To learn more about us, visit To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident (i.e., 'Green Card Holder'), Political Asylee, or Refugee. Visa sponsorship is not available for this role. Only candidates authorized to work in the United States will be considered. We are an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program. Compensation details: 00 Yearly Salary PI1eaa7d0d8fcc-0660

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

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

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Amazon, Dell Technologies, Merck, or The University of Texas System among many other leading organizations in the Austin area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor?s degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - IT Support - Application Development - Project Management - Business Operations - Data Analysis Get the skills and opportunity you need to launch your professional career. 72% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-five thousand dollars per year.

ComTec Solutions, a trusted ERP and managed IT services provider since 1995, is seeking a Software Engineering Team Lead for our Information Technology (IT) & Digital Solutions department. In this role, you will lead a team of developers building scalable, secure software solutions that support ERP customization, integration, and deployment for our clients. You will oversee the full SDLC, mentor engineers, enforce best practices, and collaborate closely with ERP consultants and stakeholders to translate business needs into technical designs. Ideal candidates have strong leadership, hands-on development experience, and a passion for teamwork, innovation, and customer-focused solutions. Responsibilities Lead a team of software engineers delivering ERP-focused applications and integrations for Com Tec Solutions clients. Translate client business requirements into scalable technical designs and development plans. Collaborate with ERP consultants to customize and extend ERP platforms to meet customer needs. Set technical standards, perform code reviews, and ensure adherence to best practices and security guidelines. Plan and prioritize work, manage sprints, and track progress to meet delivery timelines and quality goals. Guide the team in troubleshooting complex production and implementation issues and drive root-cause analysis. Mentor and coach engineers, providing regular feedback and fostering a culture of learning and innovation. Partner with project managers and stakeholders to estimate effort, manage scope, and communicate status and risks. Participate in client meetings and demonstrations, explaining technical decisions in clear business terms. Contribute hands-on to design and development of critical features, integrations, and performance optimizations. Required Skills ERP implementation (e.g., Epicor, SAP, Microsoft Dynamics or similar) C# or . NET development SQL and relational databases REST/SOAP web services and integrations Requirements gathering and business process analysis Solution architecture and technical design Agile/Scrum team leadership Source control (Git or similar) Unit and integration testing CI/CD concepts and tools Cloud platforms (Azure or AWS) Performance tuning and troubleshooting Technical documentation Stakeholder and client communication Mentoring and coaching engineers

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. 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.

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 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.