AI Data Scientist

What makes a successful AI Data Scientist at USAA? Review the top traits we’re looking for and see if you’re the right fit

• Analytical
• Collaborative
• Strategic
• Technologically savvy
• Results-driven
• Detail-oriented, 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

As an experienced AI Data Scientist in the Technology organization at USAA, you will work within our innovative Data Science team to tackle a broad and evolving spectrum of business targets to provide outstanding impacts for our membership, leveraging both structured and unstructured data through traditional pillars of operations research such as simulation, optimization, and machine-learning techniques, as well as a heavy emphasis on cutting-edge technologies with generative AI and large language models. You’ll collaborate with other data scientists to improve USAA’s tooling, expanding the company’s library of internal packages and applications, and validate the results and stability of models before being pushed to production at scale.

This team is the backbone of the next generation of AI modeling at USAA, and we hope you join us on the frontier!

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, or Phoenix, AZ. Relocation assistance is not available for this position.

What you’ll do:

• Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions for the business.
• Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value.
• Select the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
• Compose technical documents for knowledge persistence, risk management, and technical review audiences.
• Assess business needs to propose/recommend analytical and modeling projects to add business value.
• Participate in the prioritization of analytics and modeling problems/research efforts with business and analytics leaders.
• Contribute 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.
• Translate 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.
• Work 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.
• Maintain awareness of cutting-edge techniques.
• Actively seek opportunities and materials to learn new techniques, technologies, and methodologies.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

• Bachelor’s degree in mathematics, Computer Science, Statistics, Science, Engineering, or quantitative field; OR 4 years of relevant education and/or experience; and
• 4+ years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, science and engineering, AI, 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 Python for performing statical analysis 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 performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics and understanding real-world constraints such as latency, cost, and reliability in AI solution designs.
• 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:

• Experience in LLMs and agentic systems development with frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others, with proven experience including prompt engineering, tuning and post-training techniques, multi-agent systems, agent optimization and tool use, RAG and context optimization, and observability and monitoring.
• MLOps Integration experience in facilitating engineering implementation of production scaled AI solutions in partnership with dedicated AI Engineers in cloud environments such as AWS or GCP.
• Ability to assess regulatory implications and expectations of distinct modeling efforts across risk stripes, including experience in the documentation and statistical validation of models for risk management.
• Financial services, insurance, banking, or other highly regulated industry experience.
• Experience with cloud-native application development and modernization initiatives.
• Experience mentoring junior developers.
• US military experience through military service or a military spouse/domestic partner

This is a mission worth joining. Your ability to optimize statistical analyses will have a direct impact on the financial interests of the military community. Fully utilize your skills while taking on new challenges in an ethical, collaborative culture. We reward our team members with great compensation, outstanding benefits, and opportunities for advancement.

• Full Time
• Minimal-No Travel
• 34 Days PTO (including 2 volunteer days)

• Up to 8% 401(k) Match *, * * Intermediate

• • Mid-level
• • Senior
• • Manager
• • Director
• • Executive Leadership

Testimonials

“USAA invests in their employees and provides avenues for success. USAA lives by their core values not only for their members but for us the employees by living the core values: Service, Loyalty, Honesty and Integrity. I appreciate working for a company that takes care of their employees.”

• Clarissa B., Auto Claims, 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.