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# Data Scientist (Mid-level) - Risk Modeling

- **Company:** USAA
- **Location:** San Antonio, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Database Queries, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Scripting, Data Analytics
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-scientist-mid-level-risk-modeling-san-antonio-tx-usa-58870330

## About the Role

Data Engineering, IT, and business partners to deploy production-ready analytics assets * Maintains awareness of cutting-edge techniques and seeks learning opportunities * Ensures risk management and compliance in modeling activities Tasks * 4 years of experience in predictive analytics or data analysis or advanced degree with 2 years experience * 2 years of experience in training and validating statistical or ML models * 2 years of experience with Python or R and scripting * SQL and data querying experience * Experience with structured, semi-structured, and unstructured data * Experience communicating results to non-technical stakeholders * Knowledge of supervised and unsupervised modeling techniques * Ability to assess regulatory implications of modeling efforts Key requirements * medical, dental, vision plans * 401(k) and pension * life insurance * parental benefits and adoption assistance * paid time off and holidays * volunteer hours and wellness programs

## Description

Experteer Overview In this Data Scientist role, you tackle challenging P&C underwriting analytics by prototyping models and deploying data science products. You'll work with cross-functional teams to translate business questions into actionable insights and build scalable, production-ready solutions. The role emphasizes rigorous model development within risk management standards and staying current with advanced techniques. This is a mission-driven opportunity to impact member financial security through data-driven decisions. Compensation / Benefits * Gathers, interprets, and manipulates structured and unstructured data for advanced analytics * Develops scalable ML, simulation, and optimization solutions to deliver business value * Selects modeling techniques aligned with data and business needs * Develops and deploys models within MDC and MRM frameworks * Translates business requests into analytical questions and communicates results to non-technical stakeholders * Collaborates with Data Engineering, IT, and business partners to deploy production-ready analytics assets * Maintains awareness of cutting-edge techniques and seeks learning opportunities * Ensures risk management and compliance in modeling activities Tasks * 4 years of experience in predictive analytics or data analysis or advanced degree with 2 years experience * 2 years of experience in training and validating statistical or ML models * 2 years of experience with Python or R and scripting * SQL and data querying experience * Experience with structured, semi-structured, and unstructured data * Experience communicating results to non-technical stakeholders * Knowledge of supervised and unsupervised modeling techniques * Ability to assess regulatory implications of modeling efforts Key requirements * medical, dental, vision plans * 401(k) and pension * life insurance * parental benefits and adoption assistance * paid time off and holidays * volunteer hours and wellness programs


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