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About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). Preferred Qualifications: 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones. About The Role We are seeking a Data Scientist for our growing Analytics practice. In this role, you will be working closely with clients' delivery teams from Marketing and Analytics, as well as the Concord delivery team of project leads, analysts, engineers, and data scientists. This is a client-facing consultant role with room to grow your career along one of the following tracks: technical data & analytics, account leadership, and/or management. The ideal candidate combines deep analytical expertise, business acumen, and a passion for storytelling with data. You will support clients through descriptive, prescriptive, and predictive stages. This role is best suited for someone who enjoys being at the intersection of analytics, communication, and strategy. You'll be expected not only to design and implement technical solutions but also to communicate findings clearly to both technical and non-technical stakeholders, mentor junior team members, and manage projects with competing priorities. The ideal candidate brings deep analytical expertise, strong marketing context, and the ability to translate data into compelling stories. Knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics, and a strong focus on project management is needed to be successful. A broad understanding of SQL or Python will be required for the role. What You Will Be Doing Design, develop, and maintain scalable data pipelines and architectures. Partner with data scientists, engineers, and business stakeholders to define use cases and translate requirements into technical solutions. Optimize workflows for data ingestion, transformation, and feature engineering. Collaborate with cloud architects to design cost-effective, high-performance data solutions. Understanding of marketing analytics - preferably CRM or channel analytics What We Are Looking For 3+ years in the Data & Analytics space, preferably with consulting experience. Experience with project management is a strong plus. Solid ability to translate between business needs and advanced analytic techniques. Our clients may be from Marketing, IT, or Analytics. Strong understanding of SQL & Python. Strong communication skills, verbal and written, and enjoys talking shop with others. Comfortable with both technically oriented and business-oriented audiences. Ability to problem-solve in a dynamic, changing environment. Ability to gather requirements and generate Data Science & Engineering tickets as needed. Ability to prioritize and manage multiple competing responsibilities while delivering quality outcomes. Track record of proactive, value-added contributions to internal and client teams. Collaborating with high-performing cross-functional teams A love for data, and sound belief in its possibilities. Technical Knowledge & Skills SQL & Python are must-haves Cloud platforms experience such as Databricks, AWS, Snowflake, or Google Cloud Platform R / SAS is a nice to have Strong understanding of statistics AI platform experience such as Anthropic, Gemini, Microsoft Co-Pilot What We Offer (W2 Benefits) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection. Paid Time Off and Holidays (Only W2 Salary ): PTO policy and paid company holidays. Additional Information Employment type: Full-time employment with Concord Salary: $80,000 - $110,000 base. Compensation will be determined based on the candidate's qualifications and relevant experience. Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team. Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future. Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!

Job Title: Risk Data Scientist Location: Downtown B oston - Preferred Onsite-CA/GA/TX -Optional Onsite hub locations Employment Type: Exempt Full Time Compensation: $112,000 - $155,000 + Full Benefit Package Day One Candidates must be authorized to work in the U.S. At this time, our ability to provide employment-based visa sponsorship is limited At Flexcar, our mission is to make car ownership flexible, affordable, and enjoyable for everyone. We've created a month-to-month option that is more affordable than buying and more flexible than leasing. Our members are saving money and choosing a model that fits how real life actually works. Building a better model of car ownership takes more than technology. It takes people who value clarity, fairness, and real human experience. About the Role Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We're looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You'll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure. The models you build matter, and you'll see their results in real performance data. Flexcar's unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you. What You'll Do Risk Modeling & Model Development with A I Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models Lead feature selection, target variable development, and model validation Collaborate with stakeholders to set risk thresholds that balance growth with loss targets Model Platform & Vendor Integration Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs Partner with engineering and vendor technical teams when API changes or new data sources require updates that would benefit our modeling strength Monitoring & Analysis Monitor the performance of deployed risk frameworks against key metrics Identify drift, anomalies, or opportunities for improvement and bring forward clear recommendations Contribute to ad hoc analysis supporting risk strategy decisions What We're Looking For Required Bachelor's degree in Economics, Mathematics, Business or a related discipline preferred 3+ years of experience in a data science or quantitative modeling role with proven, quantifiable output Comfortable leaning in to AI-first solutions, with experience using the latest AI tools to drive results at a high velocity Strong Python and SQL skills; comfortable working with messy, real-world data Hands-on experience building and deploying predictive models in a production environment Ability to work independently and own outcomes, not just tasks Nice to Have Experience with AI data science platforms and orchestration platforms Experience with behavioral or telematics-based risk signals is a strong plus. Familiarity with third-party data vendors used in risk decisioning (bureau data, identity verification, motor vehicle records, etc.) Experience in a startup or high-growth environment where the work is broad and the tooling is still evolving What Tops Off the Tank Rest & Relaxation: Flexible PTO policy. Future Savings: Benefit from a 401(k) plan with company match from day one. Benefits: Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one. Drive a Flexcar! Discounted employee rate on Flexcar products and no annual membership fee. Weekly Pay And other amazing perks! Flexcar is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Flexcar provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

About Us Concord isn't your typical consulting firm; we're an execution company. We help organizations move technology and AI initiatives from concept to measurable capability, working alongside our clients from the initial definition of success through full implementation and adoption. Our team brings expertise across artificial intelligence and data, digital experience, and platform engineering, enabling the organizations we serve to build lasting internal capability. We operate as a global team, with a presence across the United States, Latin America, Europe, and India, giving our clients access to specialized talent and continuous coverage across time zones. About The Role We are seeking a Data Scientist for our growing Analytics practice. In this role, you will be working closely with clients' delivery teams from Marketing and Analytics, as well as the Concord delivery team of project leads, analysts, engineers, and data scientists. This is a client-facing consultant role with room to grow your career along one of the following tracks: technical data & analytics, account leadership, and/or management. The ideal candidate combines deep analytical expertise, business acumen, and a passion for storytelling with data. You will support clients through descriptive, prescriptive, and predictive stages. This role is best suited for someone who enjoys being at the intersection of analytics, communication, and strategy. You'll be expected not only to design and implement technical solutions but also to communicate findings clearly to both technical and non-technical stakeholders, mentor junior team members, and manage projects with competing priorities. The ideal candidate brings deep analytical expertise, strong marketing context, and the ability to translate data into compelling stories. Knowledge of digital measurement, digital marketing, personalization, CDPs, user experience, analytics, and a strong focus on project management is needed to be successful. A broad understanding of SQL or Python will be required for the role. What You Will Be Doing Design, develop, and maintain scalable data pipelines and architectures. Partner with data scientists, engineers, and business stakeholders to define use cases and translate requirements into technical solutions. Optimize workflows for data ingestion, transformation, and feature engineering. Collaborate with cloud architects to design cost-effective, high-performance data solutions. Understanding of marketing analytics - preferably CRM or channel analytics What We Are Looking For 3+ years in the Data & Analytics space, preferably with consulting experience. Experience with project management is a strong plus. Solid ability to translate between business needs and advanced analytic techniques. Our clients may be from Marketing, IT, or Analytics. Strong understanding of SQL & Python. Strong communication skills, verbal and written, and enjoys talking shop with others. Comfortable with both technically oriented and business-oriented audiences. Ability to problem-solve in a dynamic, changing environment. Ability to gather requirements and generate Data Science & Engineering tickets as needed. Ability to prioritize and manage multiple competing responsibilities while delivering quality outcomes. Track record of proactive, value-added contributions to internal and client teams. Collaborating with high-performing cross-functional teams A love for data, and sound belief in its possibilities. Technical Knowledge & Skills SQL & Python are must-haves Cloud platforms experience such as Databricks, AWS, Snowflake, or Google Cloud Platform R / SAS is a nice to have Strong understanding of statistics AI platform experience such as Anthropic, Gemini, Microsoft Co-Pilot What We Offer (W2 Benefits) Health, Dental, and Vision Insurance: Comprehensive coverage to support your well-being. Employer Contributions to Health Savings Accounts (HSA): Helping you save for medical expenses. Flexible Spending Accounts (FSA): Options for healthcare and dependent care expenses, plus a $200 Lifestyle Spending Account (LSA). Disability Insurance: Short- and long-term coverage, fully paid by the employer. Life and AD&D Insurance: Employer-provided coverage, with options for additional voluntary coverage. Employee Assistance Program (EAP): Access to personal and professional support resources. Career Growth Opportunities: Pathways for advancement and skill development. Team Engagement Activities: Regular team-building events and company-sponsored activities to foster collaboration and connection. Paid Time Off and Holidays (Only W2 Salary ): PTO policy and paid company holidays. Additional Information Employment type: Full-time employment with Concord Salary: $80,000 - $110,000 base. Compensation will be determined based on the candidate's qualifications and relevant experience. Interview Process: (1) Introductory call, (2) Take-home exercise, and (3) Panel interview with the hiring team. Location: Prefer candidates located in Kansas City, but open to remote work in the US. Occasional visits to the offices might be required. Requirements: Must be authorized to work legally in the US without sponsorship, now or in the future. Concord is an execution partner helping organizations drive digital transformation, modernization, and scalable technology solutions. We deliver results that solve real business challenges. We operate globally and are growing fast, shaping the future of technology. Join a team trusted by top companies to drive strategic growth and operational excellence!

Citizenship Requirement: Must be a U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph Job Duties Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of eight (8) years of relevant experience and a Master's degree; ten (10) years of relevant experience and a Bachelor's degree or 12 years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Compensation Range: $109,000 - $149,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Citizenship Requirement: Must be a U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph Job Duties Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of three (3) years of relevant experience and a Bachelor's degree or five (5) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Compensation Range: $43,000 - $95,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Citizenship Requirement: Must be U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph Job Duties Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of three (3) years of relevant experience and a Bachelor's degree or five (5) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Compensation Range: $85,000 - $116,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

Citizenship Requirement: Must be U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Minimum of four (4) years of relevant experience and a Doctoral degree or six (6) years of relevant experience and a Master's degree or eight (8) years of relevant experience and a Bachelor's degree Ten (10) years of relevant experience and an Associate's degree may be considered Degree in must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics (including Applied Math), or a related field (e.g., Engineering, Math) with at least one (1) programming and at least four (4) upper-level math classes (Calculus and above) Relevant experience must be in computer science area, designing/developing/using/evaluation mathematic models, methods, and/or techniques to study issues and solve problems, engineering, and/or performance computing Compensation Range: $115,000 - $158,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

We are seeking one full-time Data Product Manager who will be responsible for supporting significant system changes to turn the organization's data into scalable, high value products-such as curated datasets, analytics platforms, and data infrastructure. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems. At a high level, the resource will lead the strategy, roadmap, and execution of data efforts, enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle. Product Managers at DCYF guide products through the full lifecycle-from ideation and design to development, deployment, monitoring, and deprecation. Sample Tasks Product Strategy & Vision: Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure). Identify high value opportunities by investigating the data landscape, pain points, and business needs. Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties. Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes. Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution. Data Product Development: Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration. Partner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met. Translate business logic into data transformations, metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and pipelines. Ensures data products are reliable, governed, and scalable. Interested Parties Management: Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF. Communicate product value, roadmap, and use cases to leadership and cross-functional teams. Prioritize incoming requests and balance competing needs across teams. Analytics, Insights & Measurement: Define success metrics and measure product performance and adoption. Ensure data products deliver actionable insights and support decision making. Partner with analytics teams to design dashboards, KPIs, and reporting frameworks. Governance, Compliance & Ethical Data Use: Uphold data governance, privacy, and ethical AI standards. Ensure compliance with regulatory and organizational data policies. Advocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF. Provide knowledge transfer Desired Qualifications Desired 4-7 years of experience in Data management, data analytics, data engineering, or related fields. Demonstrated Product leadership skills and ability to work in ambiguity. Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance. Proficiency collaborating with data Architecture, data engineering and data science teams. Ability to translate complex technical concepts into business-friendly language. Strong communication, prioritization, and stakeholder management skills. Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics). Understanding of large organizational data sharing constraints and data sharing agreements. Experience with SQL, data lakes, data and data pipelines / ETL. Significant experience with Databricks. Familiarity with Java and Python. Background in building internal platforms or developer facing products. Experience in implementing modern data architectures at an organization. Experience in a highly regulated industry performing statistical analysis and reporting.

About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you'll own the analytics strategy for DoorDash Ads for Restaurants-one of the company's fastest-growing and most dynamic businesses. You'll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you'll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You're excited about this opportunity because you will Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods-such as cohort analysis, regression modeling, and experimentation-to identify growth opportunities and guide strategy. Thrive in a fast-paced, high-pressure environment, staying creative and resourceful in solving complex problems with limited resources. We're excited about you because You have 8+ years of experience in data analytics, consulting, or a related field, with the executive communication skills required to translate data into business impact. You're an empathetic and effective people manager who prioritizes coaching, development, and team alignment. You bring deep expertise in SQL, A/B testing, and statistical analysis (e.g. hypothesis testing, regression modeling, experimentation). You have hands-on experience with funnel optimization, user segmentation, and time-series analysis, and can guide others in applying these techniques. You're scrappy and strategic, able to navigate ambiguity, influence executive stakeholders, and deliver results under pressure. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $219,700-$323,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview: SteerBridge is seeking a Cloud Solutions Architect to design the secure, scalable AWS GovCloud architecture behind a mission-critical Defense Aviation platform used by federal customers. This role owns the technical blueprint for environments that support fleet readiness monitoring, maintenance planning, logistics coordination, and operational decision-making. The architect will work directly with engineers, security architects, data scientists, and product owners to translate mission requirements into well-architected cloud solutions that are secure, resilient, compliant, and cost-effective. Unlike a purely advisory role, this position stays close to implementation. The ideal candidate can produce architecture and design documentation, prototype solutions, set standards for infrastructure as code, and guide engineering teams through delivery. SteerBridge applies proven patterns-well-architected design, hardened and STIG-aligned baselines, Medallion data architecture, and automated CI/CD to deliver platforms that meet DoD security and authorization expectations. The architect ensures these patterns are applied consistently across the environment. This is a hybrid position based in Vienna, VA. Key Responsibilities: Solution Architecture and Design Design secure, scalable AWS GovCloud architectures for aviation analytics and operational workloads Produce architecture diagrams, design documents, and technical decision records Define standards for networking, identity, compute, storage, and data services Apply AWS Well-Architected principles across reliability, security, performance efficiency, and cost Evaluate trade-offs and make technology selections aligned with mission and compliance needs Security and Compliance by Design Embed least-privilege IAM, encryption, segmentation, and hardened baselines into every design Partner with security architects to align solutions with DoD and DISA frameworks and authorization requirements Design for auditability, logging, and continuous monitoring from the outset Implementation Guidance Set standards for infrastructure as code and CI/CD pipelines Guide and review engineering implementation to ensure fidelity to the design Prototype and validate new patterns and services before broad adoption Lead architecture and design reviews Collaboration and Strategy Translate mission and product requirements into technical roadmaps Partner with data teams to align platform architecture with Medallion data patterns Advise stakeholders and subject matter experts on cloud strategy, modernization, and risk Required Qualifications: Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. 6+ years of cloud experience, including 3+ years in an architecture or lead engineering role Deep expertise designing AWS solutions across compute, networking, storage, and IAM Strong command of the AWS Well-Architected Framework and secure cloud design patterns Experience with infrastructure as code (Terraform or CloudFormation) and CI/CD at scale Strong understanding of cloud security, identity, and network segmentation Ability to produce clear architecture documentation and present to technical and non-technical audiences Experience leading delivery across multidisciplinary teams Preferred Qualifications: Experience architecting in AWS GovCloud or other federal or regulated environments Familiarity with DoD and DISA compliance, STIG hardening, and ATO and authorization processes Experience with data platform and Medallion architecture for analytics workloads Experience with deploying containerized application workloads, hybrid networking and DNS AWS Professional-level certification such as Solutions Architect Professional Experience supporting aviation, defense, logistics, or fleet management systems Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays $165,000 - $180,000 a year The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That's where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace-so teams can ship faster with confidence. We're a Series C company backed by top-tier investors,with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works. The Opportunity AI is rapidly transforming the world. Whether it's developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our team is working to define the "canonical stack" for AI workflows, by solving the toughest problems in AI today: how to experiment, evaluate, understand and improve models or applications at scale in a responsible way. The product team has deep technical and strategic backgrounds from leading AI/ML companies (Uber, Cruise, Spotify, Apple) and experience shipping market leading platforms at scale. Working with this team is an opportunity to develop further as a PM leader in a rapidly growing space by collaborating with some of the best in class AI Engineers and Data Scientists in the industry. What You'll Do You will be owning, strategizing, and developing a large portion of Arize AI's core product roadmap. From ideation to creation, you will be involved in all stages of the product life cycle. You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product. You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production. You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements. Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI's main product offering. What We're Looking For 3-5+ years of relevant product management experience or previous AI/ML experience with strong product ownership in an AI-native company Previous engineering and/or tech lead experience Strong track record of building in a technical domain while shipping quickly and efficiently. Willingness to get your hands dirty with code! Experience and/or knowledge of working within machine learning, or data platforms and infrastructure. Experience working directly with customers and promoting community discussions in order to gather client feedback. Experience driving data-informed product strategy into production. Bonus Points, But Not Required Experience in API design Early startup experience Experience working with Figma or similar design tools The estimated annual salary for this role is between $200,000-$250,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces. More About Arize Arize's mission is to make the world's AI work-and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge-understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: Diversity & Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

Job Posting Title: Software Engineer II Req ID: Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer on the Ad Platforms team, you will focus on creating complex user interfaces with rich interactions in modern reactive JavaScript libraries, tools, and runtimes to engineer and abstract reusable, and testable UI components and applications. You will be an important part of a lean culture where we'll be looking for you to collaborate with the backend and product teams to build optimized experiences for our end-users. The right person should also blend their engineering abilities with a sense of pixel-perfect craftsmanship, turning user stories, wireframes, and prototypes into fully functional UI, highly optimized components and applications. We're looking for a passionate, impactful, technical person who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: Build features, maintain existing code, and fix bugs in JavaScript/TypeScript and React Implement best practices to continually increase performance and scalability Collaborate with the team to peer review code and suggest optimizations. Advocate for quality through innovation, curiosity and thoughtful debate. Collaborate with team and peers to design complex applications, and peer review code Explore new technologies, and suggest additions to the existing tech stack Investigate and help resolve any production issues from end user (UI) to service layer and work to prevent them Work with project managers to ensure that all project deliverables are on time and high quality Required Education, Experience/Skills/Training: Basic Qualifications Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using modern frameworks Expertise in HTML & CSS, JavaScript/TypeScript and React Library Experience with Tailwindcss or SCSS Experience with Node.js and Next.js or Express.js Experience with unit testing frameworks (e.g. Jest, Mocha, Vitest). Excellent problem-solving skills. Organized, detail-oriented and able to deliver project tasks on time. Strong verbal and written communication skills. Highly motivated, self-starting individual. Have a track record of championing quality engineering: be adamant that all UI code is accessible and written in a way that can be tested Have an understanding of browsers, devices, and other user agent interoperability and compatibility concerns Have experience working with high-performing teams using Agile and Lean methodologies and frameworks Be a perfectionist who makes sure every pixel is in the right place Have excellent verbal and written communication skills Care about your craft and have opinions about the "right" way to do things with technology Preferred Qualifications Strong verbal and written communication skills. Highly motivated, self-starting individual. Excellent collaboration skills and ability to use standard software development lifecycle (SDLC) tools such as Jira and Confluence, version control systems (e.g. Git), and CI/CD tools and pipelines. Experience working with vendor teams to deliver high quality results Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in Glendale, CA is $114,900 - $154,100 per year, in San Francisco, CA is $125,800 - $168,700 per year, in Seattle, WA is $120,300 - $161,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Product Software Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - WA - 925 4th Ave Date Posted: 2026-02-26

Job Posting Title: Software Engineer II Req ID: Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer on the Ad Platforms team, you will focus on creating complex user interfaces with rich interactions in modern reactive JavaScript libraries, tools, and runtimes to engineer and abstract reusable, and testable UI components and applications. You will be an important part of a lean culture where we'll be looking for you to collaborate with the backend and product teams to build optimized experiences for our end-users. The right person should also blend their engineering abilities with a sense of pixel-perfect craftsmanship, turning user stories, wireframes, and prototypes into fully functional UI, highly optimized components and applications. We're looking for a passionate, impactful, technical person who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: Build features, maintain existing code, and fix bugs in JavaScript/TypeScript and React Implement best practices to continually increase performance and scalability Collaborate with the team to peer review code and suggest optimizations. Advocate for quality through innovation, curiosity and thoughtful debate. Collaborate with team and peers to design complex applications, and peer review code Explore new technologies, and suggest additions to the existing tech stack Investigate and help resolve any production issues from end user (UI) to service layer and work to prevent them Work with project managers to ensure that all project deliverables are on time and high quality Required Education, Experience/Skills/Training: Basic Qualifications Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using modern frameworks Expertise in HTML & CSS, JavaScript/TypeScript and React Library Experience with Tailwindcss or SCSS Experience with Node.js and Next.js or Express.js Experience with unit testing frameworks (e.g. Jest, Mocha, Vitest). Excellent problem-solving skills. Organized, detail-oriented and able to deliver project tasks on time. Strong verbal and written communication skills. Highly motivated, self-starting individual. Have a track record of championing quality engineering: be adamant that all UI code is accessible and written in a way that can be tested Have an understanding of browsers, devices, and other user agent interoperability and compatibility concerns Have experience working with high-performing teams using Agile and Lean methodologies and frameworks Be a perfectionist who makes sure every pixel is in the right place Have excellent verbal and written communication skills Care about your craft and have opinions about the "right" way to do things with technology Preferred Qualifications Strong verbal and written communication skills. Highly motivated, self-starting individual. Excellent collaboration skills and ability to use standard software development lifecycle (SDLC) tools such as Jira and Confluence, version control systems (e.g. Git), and CI/CD tools and pipelines. Experience working with vendor teams to deliver high quality results Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in Glendale, CA is $114,900 - $154,100 per year, in San Francisco, CA is $125,800 - $168,700 per year, in Seattle, WA is $120,300 - $161,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Product Software Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - WA - 925 4th Ave Date Posted: 2026-02-26

Sr. Manager- Data Analysis At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. On a given day you will be: Refining a new Enterprise-wide analytical tools validation framework Planning and executing validation projects Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes Understanding technical issues in analytical tools and assessing tools risks and opportunities Independently researching, identifying, and prototyping industry best practices for emerging analytical tools Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations Leveraging education, colleagues and training opportunities to develop solutions to business problems Coaching and mentoring junior staff An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. Basic Qualifications Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date. At least 5 years of experience performing professional data analysis work At least 5 years of experience leading and developing with open source data technologies At least 2 years of experience managing people Preferred Qualifications: Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field At least 7 years of experience in statistical or econometrics hands-on work At least 5 years of experience manipulating and performing analysis with large data sets At least 5 years of experience in financial services industry At least 5 years of experience in developing statistical or econometric models At least 5 years of experience in validating statistical or econometric models At least 2 years of experience with data governance At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $182,500 - $208,300 for Sr. Data Analysis Manager Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Our team builds, tests, integrates, and scales Modeling, Simulation, & Analysis (MS&A) tools that beautifully visualize both real-world and simulated historical and/or live data. This capability lets users create "what ifs" to evaluate mission concepts, drive future mission tactics, and accelerate mission understanding. This new team will provide rigorous analytical products which will be used to guide product development and convince customers of our value advantage. These products will often be used for Business Development and Engineering purposes. As a Warfighter Research & Systems Analyst, you will be a key team member with a background as an Operations Research and Systems Analyst (ORSA), data scientist, or wargamer, possibly with an operational military background. You will use your understanding of tactical wargaming and simulation to create scenarios, develop models, and support analysis to demonstrate the value of Anduril's systems. Modeling, Simulation, and Analysis (MS&A) will often complement demonstration events that together leave no doubt that Anduril offers real (not PowerPoint) warfighter capability. WHAT YOU'LL DO Conduct joint and combined tactical (engagement-level and mission-level) analysis. Employ operations research, systems analysis, and wargaming to develop methodologies for analysis. Leverage high-end models and simulations, including Anduril's Lattice Mission Simulation and the Advanced Framework for Simulation, Integration and Modeling (AFSIM), to conduct studies. Perform data analysis and utilize computer models to devise solutions for intricate challenges, applying the principles of scientific inquiry and advanced analytics. Design, execute, and analyze tactical-level wargames to assess autonomous system capabilities and refine tactics . Develop physics-based models and relevant operational scenarios for wargaming exercises, with an emphasis on modeling red and blue force systems and tactics . Create and drive simulated entities during live play as a white cell or red cell operator to ensure realistic and challenging wargame execution. Assess, decompose, and solve complex problems, conveying complex information and effectively communicating results to internal and external stakeholders. Collaborate with engineering and business development teams to demonstrate Anduril's capabilities and value proposition through rigorous, data-driven analysis. REQUIRED QUALIFICATIONS Currently possess and be able to maintain an active U.S. Secret security clearance 5 years of experience in Operations Research, Systems Analysis (ORSA), or a related discipline. Experience with tactical experiment and wargaming design, including scenario development, data analytics, and trade-space analysis. Demonstrated experience in modeling and simulation for military missions, with a preference for a background in red force tactics, modeling, and simulation. Experience with DoD M&S tools (e.g., AFSIM, Brawler, Suppressor, ESAMS, Command PE). Proficiency with C++ or Python for physics-based modeling and scripting. Ability to assess and solve problems, and to effectively communicate results through strong verbal and written skills Must be a U.S. Person due to required access to U.S. export-controlled information or facilities PREFERRED QUALIFICATIONS Ability to obtain and maintain a DOD Top Secret security clearance Bachelor's or Master's degree in Operations Research, Engineering, Computer Science, Data Science, or a related technical field. Operational military background with a subsequent transition into an ORSA or Operations Analyst position. Experience with AFSIM plug-in development or other advanced M&S framework customization . Proficiency with data analysis and visualization tools such as Tableau, or scripting languages like MATLAB/SIMULINK . Graduate of a military operations research course, such as the ORSA Military Application Course (ORSA-MAC), or equivalent service school. Experience with Joint Combined Arms operations (e.g., OCA/DCA, ISR, SEAD/DEAD, Electronic Attack, or Long-Range Fires missions) US Salary Range $146,000-$194,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Job Posting Title: Software Engineer II Req ID: Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer on the Ad Platforms team, you will focus on creating complex user interfaces with rich interactions in modern reactive JavaScript libraries, tools, and runtimes to engineer and abstract reusable, and testable UI components and applications. You will be an important part of a lean culture where we'll be looking for you to collaborate with the backend and product teams to build optimized experiences for our end-users. The right person should also blend their engineering abilities with a sense of pixel-perfect craftsmanship, turning user stories, wireframes, and prototypes into fully functional UI, highly optimized components and applications. We're looking for a passionate, impactful, technical person who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: Build features, maintain existing code, and fix bugs in JavaScript/TypeScript and React Implement best practices to continually increase performance and scalability Collaborate with the team to peer review code and suggest optimizations. Advocate for quality through innovation, curiosity and thoughtful debate. Collaborate with team and peers to design complex applications, and peer review code Explore new technologies, and suggest additions to the existing tech stack Investigate and help resolve any production issues from end user (UI) to service layer and work to prevent them Work with project managers to ensure that all project deliverables are on time and high quality Required Education, Experience/Skills/Training: Basic Qualifications Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using modern frameworks Expertise in HTML & CSS, JavaScript/TypeScript and React Library Experience with Tailwindcss or SCSS Experience with Node.js and Next.js or Express.js Experience with unit testing frameworks (e.g. Jest, Mocha, Vitest). Excellent problem-solving skills. Organized, detail-oriented and able to deliver project tasks on time. Strong verbal and written communication skills. Highly motivated, self-starting individual. Have a track record of championing quality engineering: be adamant that all UI code is accessible and written in a way that can be tested Have an understanding of browsers, devices, and other user agent interoperability and compatibility concerns Have experience working with high-performing teams using Agile and Lean methodologies and frameworks Be a perfectionist who makes sure every pixel is in the right place Have excellent verbal and written communication skills Care about your craft and have opinions about the "right" way to do things with technology Preferred Qualifications Strong verbal and written communication skills. Highly motivated, self-starting individual. Excellent collaboration skills and ability to use standard software development lifecycle (SDLC) tools such as Jira and Confluence, version control systems (e.g. Git), and CI/CD tools and pipelines. Experience working with vendor teams to deliver high quality results Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in Glendale, CA is $114,900 - $154,100 per year, in San Francisco, CA is $125,800 - $168,700 per year, in Seattle, WA is $120,300 - $161,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Product Software Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - WA - 925 4th Ave Date Posted: 2026-02-26

Job Posting Title: Software Engineer II Req ID: Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer on the Ad Platforms team, you will focus on creating complex user interfaces with rich interactions in modern reactive JavaScript libraries, tools, and runtimes to engineer and abstract reusable, and testable UI components and applications. You will be an important part of a lean culture where we'll be looking for you to collaborate with the backend and product teams to build optimized experiences for our end-users. The right person should also blend their engineering abilities with a sense of pixel-perfect craftsmanship, turning user stories, wireframes, and prototypes into fully functional UI, highly optimized components and applications. We're looking for a passionate, impactful, technical person who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: Build features, maintain existing code, and fix bugs in JavaScript/TypeScript and React Implement best practices to continually increase performance and scalability Collaborate with the team to peer review code and suggest optimizations. Advocate for quality through innovation, curiosity and thoughtful debate. Collaborate with team and peers to design complex applications, and peer review code Explore new technologies, and suggest additions to the existing tech stack Investigate and help resolve any production issues from end user (UI) to service layer and work to prevent them Work with project managers to ensure that all project deliverables are on time and high quality Required Education, Experience/Skills/Training: Basic Qualifications Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in web application development or software engineering in a large enterprise environment using modern frameworks Expertise in HTML & CSS, JavaScript/TypeScript and React Library Experience with Tailwindcss or SCSS Experience with Node.js and Next.js or Express.js Experience with unit testing frameworks (e.g. Jest, Mocha, Vitest). Excellent problem-solving skills. Organized, detail-oriented and able to deliver project tasks on time. Strong verbal and written communication skills. Highly motivated, self-starting individual. Have a track record of championing quality engineering: be adamant that all UI code is accessible and written in a way that can be tested Have an understanding of browsers, devices, and other user agent interoperability and compatibility concerns Have experience working with high-performing teams using Agile and Lean methodologies and frameworks Be a perfectionist who makes sure every pixel is in the right place Have excellent verbal and written communication skills Care about your craft and have opinions about the "right" way to do things with technology Preferred Qualifications Strong verbal and written communication skills. Highly motivated, self-starting individual. Excellent collaboration skills and ability to use standard software development lifecycle (SDLC) tools such as Jira and Confluence, version control systems (e.g. Git), and CI/CD tools and pipelines. Experience working with vendor teams to deliver high quality results Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in Glendale, CA is $114,900 - $154,100 per year, in San Francisco, CA is $125,800 - $168,700 per year, in Seattle, WA is $120,300 - $161,300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Ad Platforms Job Posting Primary Business: AP - Engineering Primary Job Posting Category: Product Software Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Glendale, CA, USA Alternate City, State, Region, Postal Code: USA - CA - Market St, USA - WA - 925 4th Ave Date Posted: 2026-02-26

Reddit is a community of communities. It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information. For more information, visit . Location: US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be. Advertising is Reddit's primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling. About the Role: Reddit's Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit's Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement. Qualifications: Required: Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research For M.S. holders: 10+ years of industry experience in applied science or data science roles For Ph.D. holders: 6+ years of industry experience in applied science or data science roles Deep understanding of the ads ecosystem Demonstrated expertise in at least one of the following areas: Measurement & Experimentation at Scale (with focus on lift and attribution) Identity Graph Creation & Resolution Methodology and Infrastructure Predictive Modeling with Signal Loss Advanced proficiency in statistical programming (Python or R) and SQL Experience with machine learning or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000-$303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

At Arctic Wolf, you won't just watch the cybersecurity industry evolve - you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We're proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape - but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you're looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that's redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We're looking for a Senior Manager, Artificial Intelligence to be part of making that happen. About The Role In this role, you advance that mission by planning and directing the AI development that turns massive volumes of security signal into faster detection and response. This work spans the full range of machine learning and AI solutions, from classical models to fine-tuned language models and agentic systems. You ensure AI initiatives, processes, and deliverables conform to the organization's established policies, quality standards, and objectives. You also work closely with R&D Leadership, Product Management, and the Security Services (S2) organization to build scalable, production-grade AI that customers and analysts need, delivered on time. Senior Managers carry a large scope of leadership and may have multiple managers and/or technical leads reporting to them. The right leader brings specialized subject-matter expertise in the AI domain along with a can-do attitude. They are comfortable working across functional boundaries, partnering with data scientists, platform engineers, threat researchers, and security operations analysts to push complex, ambiguous initiatives over the line. Responsibilities Generates and manages the day-to-day work for their team and is accountable for its outcomes. Partners with the Product team to define and deliver the 6-month AI roadmap and contributes to longer-term planning and strategy with R&D Leadership. Provides direction and clarity, removes obstacles, and leads teams that deliver high-quality, innovative AI solutions alongside architects, developers, data scientists, product managers, CSEs, and support people. Set the direction for applying the right approach to each problem, from classical ML (e.g., clustering, random forests) to deep learning, fine-tuned language models, and agentic systems, in partnership with your technical peers and team members, translating complex security use cases into production-ready initiatives. Partner with Architects and other leadership on the company's technical roadmap, championing secure, observable, and scalable AI systems in cloud-native environments. Oversee the design, training, deployment, and ongoing quality measurement of models and agentic experiences. Drive continuous improvement in engineering and MLOps processes. Uphold secure coding and acceptable-use standards across the full development life cycle. Drive cross-functional initiatives with platform, product, and security operations teams to integrate AI into production, and see that work through to completion. Mentor each team member and help them grow their technical and leadership skills, establishing career development plans and achievable goals. Build collaborative relationships across teams and stakeholders. Lead recruitment for their team and be a key contributor to hiring and recruitment strategy for both full-time and co-op roles. About You Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Data Science, or a related field, or an equivalent combination of education and experience. Four years of experience in software, AI/ML, or data science roles (or a Master's degree plus two years), including experience leading technical teams or projects. Demonstrated experience leading technical teams and delivering AI/ML or Generative AI systems to production at scale. Strong expertise in the production delivery of Generative AI or machine learning systems, including training, tuning, and ongoing quality measurement and evaluation (e.g., LLM-as-judge). Experience with agentic frameworks (e.g., AgentCore, LangChain, LangGraph) and LLM integration. Experience architecting MLOps processes and tooling for moving models from training to production, including drift monitoring and continuous learning in high-volume pipelines. Familiarity with cloud-native data services (AWS preferred) and data engineering tools (e.g., Spark, Flink, Kafka, Databricks), and with infrastructure-as-code, CI/CD, and DevSecOps principles. Exposure to cybersecurity concepts such as threat detection, MITRE ATT&CK, telemetry, and adversarial behavior modeling. A can-do attitude, tenacity, and proven ability to work across cross-functional boundaries to drive ambiguous, high-impact initiatives to completion. On-Camera Policy To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations. About Arctic Wolf At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (), Best Places to Work - USA (), Great Place to Work - Canada (), Great Place to Work - UK (2024), and Kununu Top Company - Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that-by protecting people's and organizations' sensitive data and seeking to end cyber risk- we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here. We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities. All wolves receive compelling compensation and benefits packages, including: Equity for all employees Flexible time off and paid volunteer days RRSP and 401k match Training and career development programs Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services Robust Employee Assistance Program (EAP) with mental health services Fertility support and paid parental leave Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing . Security Requirements Conducts duties and responsibilities in accordance with AWN's Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). Background checks are required for this position. This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations ("EAR"). Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations. The base salary range for this job family is 118,700 to 280,000 USD annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure . click apply for full job details