Title: Data Scientist (Mid-level) - Model Development Location: CHARLOTTE North Carolina United States Type: Full-Time Job Description: 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 #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Bank AI/ML team is looking for candidates with backgrounds in model development for credit risk, marketing, or everyday banking. As a Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: - Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. - Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. - Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. - Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. - Composes 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 sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. - 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: - Medium or large bank experience. - Strong working knowledge of Python and/or SAS. - Control partner collaboration experience. - Familiar with Model Risk Management, Model Governance, and Regulatory requirements. - US military experience through military service or a military spouse/domestic partner. 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 USAAjobs.com. 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.

Title: Data Scientist (Mid-level) - Model Development Location: San Antonio, Texas; Charlotte, North Carolina; Chesapeake, Virginia; Colorado Springs, Colorado; Phoenix, Arizona; Plano, Texas Type: Full-Time Job Description: 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 #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity The Bank AI/ML team is looking for candidates with backgrounds in model development for credit risk, marketing, or everyday banking. As a Data Scientist, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. In collaboration with engineering partners, delivers solutions at scale, and enables customer-facing applications. Leverages database, cloud, and programming knowledge to build analytical modeling solutions using statistical and machine learning techniques. Collaborates with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications. Works with model risk management to validate the results and stability of models before being pushed to production at scale. This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week. Relocation assistance is available for this position. What you'll do: - Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. - Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. - Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. - Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. - Composes 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 sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. - 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: - Medium or large bank experience. - Strong working knowledge of Python and/or SAS. - Control partner collaboration experience. - Familiar with Model Risk Management, Model Governance, and Regulatory requirements. - US military experience through military service or a military spouse/domestic partner. 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 USAAjobs.com. 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.

Role Description iCivics is seeking a Senior Data Scientist to analyze and process data from its diverse array of product and programming. The majority of the role will focus on data produced by the core ed.icivics.org website, that is visited by 140,000+ and an estimated 9 million students a year. This role will also be in charge of: - Lookback impact studies - Analyzing annual teacher survey data - Analyzing annual policy landscape report data - Various other projects related to professional development and core curriculum data needs - Constructing dashboards as needed In this fully remote position, you will work closely with iCivics’ Principal Data Scientist. This is an exciting opportunity to process real-world, large educational datasets to inform how students engage with learning platforms in educational settings. You will operate at the intersection of machine learning, learning science, impact research, and product development. Qualifications - 5+ years of professional experience in a data science role, ideally in the Edtech space - Proven track record of using data science analyses to drive product recommendations and/or impact analyses with large-scale datasets - Mastery of statistical techniques and experimental design, especially in the context of educational evaluation - Mastery level knowledge of SQL, and R/Python (R is preferred) - Deep knowledge in constructing BI and data dashboard tools (Tableau is preferred) - Interest in the field of Education or Civics - Creative problem-solving skills - Ability to communicate complex data results clearly Requirements - Lead the analysis of data-driven impact studies, including a lookback study using quasi-experimental techniques - Lead the design, analysis, and reporting around an annual teacher survey - Lead the analysis and reporting, in partnership with the policy team, around an annual policy landscape analysis - Conduct data collection and inform the design around impact studies about the iCivics website - Mentor interns and other data team members as appropriate - Build BI dashboards as needed - Analyze data for product and program improvement recommendations - Communicate findings to other teams Benefits - Health First: Medical options with $0 deductible (covered by us) - True Flexibility: 100% remote (US) with flexible hours to fit your life - Abundant Rest: 5 weeks PTO + Winter Break + Summer Fridays + a guaranteed 4-day July 4th weekend - Family Support: 12 weeks of 100% paid parental leave - Growth & Connection: Annual professional development stipend and an in-person annual staff retreat to bond with your team Salary The anticipated starting salary for this role is between $100,000 – $120,000, with final offers scaled to reflect any unique experience and specialized skills. Application Process Please apply online; we will be reviewing applications on a rolling basis with preference given to applications in by May 22, 2026.

• Monitor and maintain Well & Seismic data management services for clients, ensuring regulatory compliance. • Support Subsurface and Exploration teams in maintaining data quality, workflows, and accessibility within the Subsurface and Exploration product line. • Manage client requirements for Exploration and Geological Well & Seismic data, including data receipt, conversion, transfer, quality control, and archiving. • Ensure compliance with Information and Samples Retention and Reporting obligations. • Coordinate compliance improvement efforts across client databases and develop and implement Information and Samples Plans (ISPs). • Serve as a key interface between the Geoscience community and Data Management teams. • Oversee the acquisition, storage, integration, and optimization of subsurface data. • Conduct data quality assessments, enforce standards, and ensure synchronization across projects and corporate repositories. • Deliver well & seismic data management services for E&P applications and maintain corporate databases. • Maintain and regularly update data inventories, applying agreed standards for consistency and optimization.