USAA

Data Scientist Senior

San Antonio, TX, US$150,960-$288,530Posted 4 days ago

Job Description

Location

San Antonio, Texas; Charlotte, North Carolina; Colorado Springs, Colorado; Phoenix, Arizona; Plano, Texas; Tampa, Florida Job ID R0118568 Date posted 07/06/2026 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

As a Senior Data Scientist, you will leverage advanced analytics, machine learning, and AI-driven solutions to transform complex financial and operational data into actionable business insights that influence key strategic decisions. Partnering closely with senior Finance leaders and cross-functional stakeholders, you will develop innovative forecasting and predictive modeling solutions that drive performance, support risk management, and create measurable business value. This is a highly visible opportunity to solve complex challenges at scale while contributing directly to the success of the CFO organization.

We are seeking a collaborative and intellectually curious professional with an advanced degree (Master's or Ph.D.) in Mathematics, Economics, Statistics, Finance, Data Science, Actuarial Science, or a related quantitative field. The ideal candidate will bring a strong foundation in economic forecasting, statistical analysis, predictive modeling, and advanced analytics, along with expertise in Python, R, and Snowflake. Experience within a large financial services, banking, insurance, or consulting environment is highly...

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