• You'll own the full lifecycle from messy data to actionable insight, collaborating with an interdisciplinary team to shape the technical direction of our work. • Build end-to-end modeling pipelines. Improve pipeline reliability, data quality checks, and model diagnostics to increase confidence in our modeling outputs. • Develop models, perform feature engineering, and contribute new ideas to improve our core data science approach. Our problems are not well suited to plug-and-play ML solutions. We often have to think creatively about the right ways to evaluate model performance. • Deliver actionable guidance to internal stakeholders, translating the nuances of model output into clear strategic insight. • Build subject matter context and interrogate the data to distinguish real signal from potential bugs. • Scope technical needs alongside engineers, statisticians, and political analysts, then ship the solution.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Data Scientist applies advanced analytics, predictive modeling, and data science techniques to solve complex Property & Casualty (P&C) insurance business problems. This role partners closely with business and technical stakeholders to develop insights that improve pricing accuracy, underwriting performance, claims efficiency, and overall risk management. Responsibilities - Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions - Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities - Translate business and strategic objectives into clear analytics, reporting, and data requirements - Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools - Document, present, and explain modeling methodologies and results for business partners and regulatory review - Identify, evaluate, and integrate internal and external data sources to meet business needs - Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions - Promote analytics best practices and provide consultation on data-driven initiatives - Evaluate third-party data, models, and analytical tools in partnership with vendors Qualifications - 6+ years of advanced analytics, data science, or predictive modeling experience - 3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models) - Strong knowledge of P&C insurance data, data sources, and business processes - Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred) - Experience working with large datasets using SQL, Spark, or cloud-based data platforms - Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar - Strong written and verbal communication skills with the ability to explain complex analytics to business audiences - Self-motivated, analytical, and collaborative mindset Education & Credentials (Preferred) - Master’s degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field - P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA Benefits - Medical & Prescription Insurance - Health Savings Account - Dental Insurance - Vision Insurance - Short and Long Term Disability - Flexible Spending Accounts - Life and Accidental Death & Disability - Accident and Critical Illness Insurance - Employee Assistance Program - 401(k) Plan with Company Match - Pet Insurance - Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. - Enhanced PTO may be available for experienced candidates - Bonus eligible based on performance

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. The Opportunity Leads a team of Data Scientists responsible for identifying, scoping, and translating 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. Works with business leaders to ideate, valuate, and scope projects to meet business needs. Manages the team’s projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team’s model inventory and ensures compliance with USAA model risk policies and regulatory expectations. Influences the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. 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 to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction. Works with business leaders to ideate, valuate, and scope projects to meet business needs. The incumbent will also manage the team’s projects and communicates progress updates to senior leadership and other business stakeholders. Responsible for the team’s model inventory and ensures compliance with USAA model risk policies and regulatory expectations. The person will be responsible for influencing the future of data science at USAA by conducting research on the latest technologies and driving adoption of those technologies. 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: - 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 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. - 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: - Demonstrated leadership across diverse data science teams with a focus on delivering results in banking and financial services. - Strong communication skills with the ability to influence stakeholders and align cross-functional teams - Deep understanding of model governance, regulatory expectations and best practices in AI/ML deployment. - Proven track record of developing talent fostering collaboration and driving strategic data science initiative across the organization 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 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.

• Provide strategic oversight of student conduct within the K12 Zone and all virtual student engagement platforms, ensuring alignment with campus behavioral standards, digital citizenship expectations, and student safety protocols. • Apply professional discretion and independent judgment in evaluating behavioral incidents within a Multi-Tiered System of Supports (MTSS) framework, determining the appropriate level of intervention, response, and escalation to the Campus Behavior Team. • Lead the comprehensive review and analysis of behavior referrals, incorporating historical data, contextual factors, and student-specific variables to inform intervention planning and corrective action. • Contribute to the development, refinement, and implementation of campus-wide behavioral frameworks, procedures, and strategic initiatives. • Serve as the primary liaison for parent communication regarding behavior incidents occurring within virtual environments, including those related to device misuse or system access concerns, fostering collaborative and solution-focused partnerships. • Collaborate cross-functionally with Information Technology and campus leadership to address behavior-related system issues (e.g., chat restrictions, access modifications, incident documentation), ensuring alignment between behavioral determinations and platform access. • Partner with the Campus Behavior Manager to support investigations, recommend interventions, and ensure consistent implementation of campus behavior systems and procedures. • Oversee the integrity and alignment of behavior data across systems, utilizing trend analysis to inform leadership decisions, proactive supports, and continuous improvement efforts. • Provide consultative guidance to instructional staff and campus leaders regarding student behavior trends, appropriate interventions, and system-level responses. • Ensure compliance with all applicable state and federal regulations, including FERPA, and uphold strict standards of confidentiality and professional ethics.