32 jobs found

Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting global retail and beverage operations. You will use statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency. Partner with cross-functional stakeholders to translate business questions into analytical projects, build and validate predictive models, and deliver actionable insights through dashboards and clear storytelling. You'll help shape data strategy, champion data quality and governance, and contribute to a culture of ethical, responsible data use across Starbucks. Responsibilities Collaborate with business stakeholders to define analytical problems and success metrics. Design, build, and validate statistical and machine learning models for retail, customer, and supply chain use cases. Query and transform large datasets using SQL and scripting languages. Develop dashboards and reports to visualize performance and model outcomes. Run A/B tests and experiments to measure the impact of initiatives. Communicate complex findings through clear presentations and data storytelling. Support data governance, quality checks, and documentation of analytical workflows. Partner with engineering teams to operationalize models and analytics solutions. Monitor model performance and iterate based on new data and business feedback. Contribute to a culture of ethical and responsible data use aligned with Starbucks values. Required Skills Python RSQLMachine learning Statistical modeling Data visualization A/B testing and experimentation Predictive analytics Data wrangling Dashboard tools (Tableau/Power BI)

Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects that optimize store operations, personalize customer experiences, and support ethical sourcing and sustainability initiatives. You will partner with cross-functional teams in marketing, supply chain, and operations to translate complex data into clear insights and scalable solutions. You will mentor junior data scientists, champion data quality and experimentation, and help shape Starbucks' long-term data and analytics strategy in a collaborative, values-driven environment. Responsibilities Lead design and delivery of advanced analytics and machine learning solutions to support customer, store, and supply chain decisions. Partner with marketing, operations, and supply chain to frame business problems and translate them into analytical projects. Develop, validate, and deploy predictive and prescriptive models, ensuring scalability and reliability in production. Design and analyze A/B tests and experiments to measure the impact of new initiatives and product changes. Build dashboards and visualizations that communicate complex insights to non-technical stakeholders. Mentor and coach junior data scientists and analysts, promoting best practices in modeling, coding, and documentation. Ensure data quality, governance, and responsible use of data, aligned with Starbucks' values and customer trust. Contribute to the data & analytics roadmap, evaluating new tools, methods, and technologies to improve capabilities. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) A/B testing and experimentation Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering

Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting our global coffee retail and store operations. In this role, you will analyze large, complex datasets from stores, loyalty programs, supply chain, and digital channels to generate insights that improve customer experience, store performance, and operational efficiency. You will build predictive models, conduct A/B testing, and create dashboards that guide decision-making. You'll partner with business, marketing, and operations teams and help embed data-driven thinking across Starbucks in an inclusive, values-driven culture. Responsibilities Analyze large, complex datasets from stores, loyalty, and digital channels to uncover actionable insights. Develop, validate, and deploy predictive and machine learning models to support key business decisions. Design and analyze A/B tests and experiments to measure the impact of new initiatives. Build clear dashboards and reports to communicate performance trends to stakeholders. Collaborate with marketing, operations, and finance teams to translate business questions into analytical solutions. Clean, transform, and validate data to ensure accuracy, consistency, and reliability. Present findings and recommendations to technical and non-technical audiences. Partner with engineering teams to productionize models and analytics solutions. Monitor model performance and iterate based on business feedback and new data. Support a culture of data literacy and data-driven decision-making across Starbucks. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (Tableau/Power BI) A/B testing and experimentation ETL and data wrangling Cloud data platforms (AWS/Azure/GCP) Dashboard development Time-series analysis Predictive modeling Big data tools (Spark/Hadoop) Version control (Git)

Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food business. In this role, you will build advanced predictive models and experiments to optimize store operations, personalize customer experiences, and support strategic initiatives. You will partner with marketing, supply chain, and store operations to translate data into clear recommendations, design and evaluate A/B tests, and develop dashboards and analytical tools. You will mentor junior data scientists, promote best practices in data science and MLOps, and help shape Starbucks' data and analytics roadmap. Responsibilities Develop and deploy machine learning models to support marketing, store operations, and supply chain decisions Design and analyze A/B tests and experiments to evaluate initiatives and product features Extract, clean, and transform large datasets using SQL and scripting languages Create dashboards and visualizations to communicate insights to non-technical stakeholders Partner with cross-functional teams to translate business questions into analytical solutions Mentor and guide junior data scientists and analysts on methods and best practices Collaborate with data engineering to productionize models and improve data pipelines Define and promote standards for model evaluation, monitoring, and documentation Contribute to the data and analytics strategy and roadmap for Starbucks Present findings and recommendations to senior leadership in clear, actionable terms Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering Predictive analytics ML model deployment/MLOps

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food service business. In this role, you will build predictive and optimization models to improve store operations, customer experience, and supply chain efficiency. You will lead analytics projects from problem framing to deployment, partnering with business, tech, and retail stakeholders. Responsibilities include designing experiments, developing machine learning solutions, creating scalable data pipelines, and presenting insights to leadership. You'll mentor junior data scientists and help shape Starbucks' data and analytics strategy in a values-driven, inclusive culture. Responsibilities Lead end-to-end development of predictive and machine learning models to support operations, marketing, and supply chain decisions Partner with cross-functional teams to translate business problems into analytical solutions and measurable outcomes Design and analyze experiments (A/B tests) to evaluate initiatives and optimize performance Build and maintain scalable data pipelines and analytical datasets using SQL and modern data platforms Develop clear data visualizations and presentations for technical and non-technical stakeholders, including senior leadership Mentor and guide junior data scientists and analysts, promoting best practices in modeling and analytics Contribute to the data and analytics roadmap, recommending tools, methods, and standards Ensure data quality, governance, and responsible AI practices in all modeling efforts Required Skills Python SQLMachine learning Statistical modeling Predictive analytics A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, Azure, GCP) Data engineering / ETLOptimization and forecasting

Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts

Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting global retail and beverage operations. You will use statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency. Partner with cross-functional stakeholders to translate business questions into analytical projects, build and validate predictive models, and deliver actionable insights through dashboards and clear storytelling. You'll help shape data strategy, champion data quality and governance, and contribute to a culture of ethical, responsible data use across Starbucks. Responsibilities Collaborate with business stakeholders to define analytical problems and success metrics. Design, build, and validate statistical and machine learning models for retail, customer, and supply chain use cases. Query and transform large datasets using SQL and scripting languages. Develop dashboards and reports to visualize performance and model outcomes. Run A/B tests and experiments to measure the impact of initiatives. Communicate complex findings through clear presentations and data storytelling. Support data governance, quality checks, and documentation of analytical workflows. Partner with engineering teams to operationalize models and analytics solutions. Monitor model performance and iterate based on new data and business feedback. Contribute to a culture of ethical and responsible data use aligned with Starbucks values. Required Skills Python RSQLMachine learning Statistical modeling Data visualization A/B testing and experimentation Predictive analytics Data wrangling Dashboard tools (Tableau/Power BI)

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you'll lead advanced analytics, experimentation, and machine learning projects that optimize store operations, pricing, and customer experience. You'll partner with cross-functional teams to turn complex data into clear insights, build predictive models, and guide data strategy. You will mentor other data scientists, champion data quality and governance, and help scale analytics capabilities that support sustainable growth, ethical sourcing, and our values-driven mission. Responsibilities Lead end-to-end analytics and machine learning projects from problem framing to deployment and measurement Develop predictive and prescriptive models to optimize customer experience, operations, and pricing Design and analyze experiments and A/B tests to evaluate initiatives and inform strategy Collaborate with product, operations, marketing, and finance teams to translate business needs into data solutions Build dashboards and visualizations that communicate complex insights clearly to non-technical stakeholders Ensure data quality, governance, and reproducibility across analytics workflows Mentor and guide junior data scientists and analysts, sharing best practices and standards Contribute to the long-term data and analytics strategy, tooling, and model lifecycle management Required Skills Python RSQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (Tableau/Power BI) Cloud platforms (AWS/Azure/GCP) Data wrangling and ETLBig data tools (Spark/Hadoop)

Starbucks is seeking a Senior/Lead Data Scientist to shape data-driven decisions across our global coffee business. In this role, you will design and deploy advanced statistical models and machine learning solutions to optimize store operations, beverage innovation, supply chain, and customer experience. You will partner with cross-functional teams in marketing, operations, and digital product to translate complex data into clear insights and actionable strategies. You'll mentor junior data scientists, promote best practices in experimentation and analytics, and help scale our Data & Analytics capabilities in a values-driven, inclusive environment. Responsibilities Design, build, and validate statistical and machine learning models to solve complex business problems. Translate ambiguous business questions into analytical approaches, experiments, and measurable outcomes. Partner with marketing, operations, and digital teams to deliver data-driven recommendations that impact strategy and performance. Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders. Lead and mentor junior data scientists, promoting best practices in coding, modeling, and documentation. Drive experimentation frameworks, including A/B tests, to evaluate initiatives and optimize customer experiences. Collaborate with data engineering to productionize models and improve data quality and accessibility. Stay current on emerging data science methods and tools and apply them where they add business value. Required Skills Machine learning Statistical modeling Python RSQLData visualization (e.g., Tableau, Power BI) A/B testing and experimentation Big data tools (e.g., Spark, Hadoop) Cloud analytics platforms (e.g., AWS, Azure, GCP) Feature engineering Predictive analytics Time series forecasting Data storytelling Model deployment and MLOps

Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics, build predictive and optimization models, and turn complex data into clear insights that shape store operations, customer experience, and supply chain. You will partner with cross-functional teams to design experiments, analyze loyalty and sales data, and develop scalable data products. You'll mentor junior data scientists and champion best practices in MLOps, model governance, and responsible AI in a collaborative, values-driven environment. Responsibilities Lead design, development, and deployment of predictive and optimization models for customer, store, and supply chain use cases. Translate ambiguous business questions into clear analytical problems, hypotheses, and measurable success metrics. Design and analyze experiments (A/B tests) to evaluate promotions, product launches, and operational changes. Build robust data pipelines and collaborate with engineering to productionize models and analytics solutions. Develop dashboards and visualizations that clearly communicate insights to technical and non-technical stakeholders. Mentor and guide junior data scientists, promoting best practices in modeling, coding, and documentation. Ensure model governance, monitoring, and responsible AI practices, including fairness and bias assessments. Collaborate with cross-functional partners in marketing, operations, finance, and digital teams to drive data-informed decisions. Required Skills Python RSQLMachine learning Statistical modeling Experiment design / A-B testing Data visualization (e.g., Tableau, Power BI) Cloud analytics platforms (e.g., AWS, GCP, Azure) MLOps and model deployment Big data tools (e.g., Spark, Hadoop)

Aquent Talent seeks a Data Scientist to drive data-informed decisions across creative, marketing, and digital staffing solutions. You will design and implement predictive models, segment clients and talent, and analyze campaign and marketplace performance to optimize match quality and business outcomes. Responsibilities include data wrangling from multiple sources, building dashboards, running experiments, and communicating findings to business and product stakeholders. You'll collaborate cross-functionally in a people-first, inclusive environment with opportunities for continuous learning and flexible work options. Responsibilities Develop and deploy predictive models to improve talent-client matching and business outcomes. Wrangle, clean, and integrate data from multiple internal and external sources. Design and maintain dashboards and reports for business and product stakeholders. Conduct A/B tests and experiments to evaluate product and campaign performance. Collaborate with cross-functional teams to translate business questions into analytic solutions. Communicate insights and recommendations clearly to technical and non-technical audiences. Monitor model performance and iterate to improve accuracy and impact. Contribute to data best practices, documentation, and knowledge sharing. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (Tableau/Power BI) A/B testing and experimentation ETL/data wrangling Predictive analytics Cloud data platforms (AWS/GCP/Azure)

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $189,370 - $361,950. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $189,370 - $361,950. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $189,370 - $361,950. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director, Data Scientist, you will lead a team of Data Scientists responsible for identifying, scoping, and translating business problems into applied statistical, machine learning, simulation, and optimization solutions that generate actionable business insights and drive business value through automation, revenue generation, and the reduction of expenses and risk. You will work closely with business leaders to ideate, evaluate, and scope projects that address critical business needs. You will manage the team's project portfolio and communicate progress, outcomes, and key updates to senior leadership and other business stakeholders. Additionally, you will be responsible for the team's model inventory, ensuring compliance with USAA's model risk management policies and regulatory requirements. You will influence the future of data science at USAA by researching emerging technologies, identifying opportunities for innovation, and driving the adoption of advanced analytical capabilities across the organization. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Acts as advanced analytics thought leader and advisor to the business to shape strategies that drive competitiveness and differentiation. Influences business, data, and technology leaders to invest, sustain and expand advanced analytical capabilities by actively participating in strategy, planning, and budgeting exercises. Leads and develops team to build and deploy various advanced analytical solutions in an agile and collaborative environment across business, data, and technology organizations. Enables team's success by simplifying processes across the model development lifecycle and driving automation. Identifies, scopes, and manages complex analytical projects in collaboration with business stakeholders, often translating results to non-technical business executives. Champions and manages efforts to deliver business insights via scalable, automated solutions using machine learning, simulation, and optimization. Responsible for ensuring all modeling and machine learning solutions adhere to industry standards, model risk policy, and regulatory expectations. Partners with enterprise analytical and IT teams to build USAA core capabilities and processes. Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts. Builds and oversees a team of Data Scientists through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience. 8 years in predictive modeling, model governance, machine learning and large data analysis., OR Advanced Degree (e.g., Master's, PhD) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative STEM field (Science, Technology, Engineering and Math) field and 6 years in predictive modeling, model governance, machine learning and large data analysis. 3 years of direct management experience. Strong communication skills; demonstrated ability to interpret and translate complex technical information to diverse audiences. Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark, Hadoop etc.) commonly associated with delivery of Data Science solutions. Experience in developing and reviewing modeling solutions based on broad range of techniques - e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques. Demonstrated ability to apply best practices in modeling and machine learning techniques to solve business problems. Demonstrated ability to write and review complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences. A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within the organization. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $189,370 - $361,950. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions that drive actionable business insights and business value through automation, revenue generation, and the reduction of expenses and risk. In collaboration with engineering partners, you will deliver scalable solutions and enable customer-facing applications. You will leverage your expertise in databases, cloud technologies, and programming to build analytical modeling solutions using statistical and machine learning techniques. You will also collaborate with fellow data scientists to enhance USAA's tools and expand the company's library of internal packages and applications. Additionally, you will partner with Model Risk Management to validate model results and ensure their stability before deploying them to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions that drive actionable business insights and business value through automation, revenue generation, and the reduction of expenses and risk. In collaboration with engineering partners, you will deliver scalable solutions and enable customer-facing applications. You will leverage your expertise in databases, cloud technologies, and programming to build analytical modeling solutions using statistical and machine learning techniques. You will also collaborate with fellow data scientists to enhance USAA's tools and expand the company's library of internal packages and applications. Additionally, you will partner with Model Risk Management to validate model results and ensure their stability before deploying them to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions that drive actionable business insights and business value through automation, revenue generation, and the reduction of expenses and risk. In collaboration with engineering partners, you will deliver scalable solutions and enable customer-facing applications. You will leverage your expertise in databases, cloud technologies, and programming to build analytical modeling solutions using statistical and machine learning techniques. You will also collaborate with fellow data scientists to enhance USAA's tools and expand the company's library of internal packages and applications. Additionally, you will partner with Model Risk Management to validate model results and ensure their stability before deploying them to production at scale. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Participates in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders. Contributes to the development of a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Works closely with Data Engineering, IT, the business, and other internal stakeholders to deploy production-ready analytical assets that are aligned with the customer's vision and specifications while being consistent with modeling best practices and model risk management standards. Maintains awareness of cutting-edge techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience. 4 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 2 years of experience in predictive analytics or data analysis. 2 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 2 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). Experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. Experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Experience in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess regulatory implications and expectations of distinct modeling efforts. Experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. Experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: US military experience gained through military service or gained as a military spouse / domestic partner. Financial Services industry experience. Compensation range: The salary range for this position is: $114,080 - $218,030. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.