Senior AI Data Scientist – Solutions Developer

USAA
San Antonio, Plano, Phoenix
Workplace: HybridFull timeUSD 143,320 - 273,930 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Mentoring","Communication","Risk management","Problem-solving"]

Design and deliver scaled AI and analytics solutions using structured and unstructured data to produce actionable business insights. Build and deploy predictive and analytical models, including LLM and agentic systems, within model governance frameworks (MDC/MRM). Partner with architecture, engineering, and product teams to translate business questions into experiments, manage project risks, and communicate outcomes to non-technical stakeholders, while supporting reusable production-quality code and mentoring junior data scientists.

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FursaFursa
USAA
USAA
3 days ago

Senior AI Data Scientist – Solutions Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design and deliver scaled AI and analytics solutions using structured and unstructured data to produce actionable business insights. Build and deploy predictive and analytical models, including LLM and agentic systems, within model governance frameworks (MDC/MRM). Partner with architecture, engineering, and product teams to translate business questions into experiments, manage project risks, and communicate outcomes to non-technical stakeholders, while supporting reusable production-quality code and mentoring junior data scientists.
Location: San Antonio, Plano, Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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 insights and business value.
  • •Select appropriate modeling techniques considering data limitations, application needs, and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
  • •Translate complex business requests into analytical questions, execute analysis/modeling, and communicate outcomes and recommendations to non-technical partners.
  • •Build reusable, production-quality algorithms and supporting code; manage project milestones/risks/impediments; mentor junior data scientists and collaborate with Data Engineering/IT for production deployment.

Pay and Benefits

Salary: USD 143,320 - 273,930 annually
Perks:MedicalDentalVision401kPensionLife InsuranceParental LeaveAdoption AssistancePaid LeavePaid HolidaysVolunteer HoursWellness Stipend

Key Requirements

  • •Bachelor’s degree in a quantitative field (mathematics, Computer Science, Statistics, Science, Engineering) OR 4 years of relevant education and/or experience, plus 6+ years in predictive analytics or data analysis (or an advanced degree with 4+ years).
  • •4+ years of experience training and validating statistical, physical, machine learning, and advanced analytics models.
  • •4+ years of experience using Python to analyze data and build/score AI/ML models, with transparent, well-documented code.
  • •Strong experience querying and preprocessing structured and/or unstructured data using SQL/HQL/NoSQL, and performing ad-hoc analytics with real-world constraint awareness (latency, cost, reliability).
  • •Expertise in LLMs and agentic systems (e.g., LangChain/LangGraph, AgentCore, VertexAI, MCP) plus MLOps integration for production-scale solutions in AWS or GCP.
Experience:6+ years
Education:Bachelor's
Skills:MentoringCommunicationRisk managementProblem-solving
Tech Stack:PythonSQLHQLNoSQLLangChainLangGraphAgentCoreVertexAIMCPAWSGCPLLMsRAGMLOpsSimulationOptimization

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

USAA
Provides insurance, banking, investment, and financial services to U.S. military members, veterans, and their families. Best known for auto, home, life insurance, and member-focused digital banking products.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: San Antonio, United States
Founded: 1922
WebsiteLinkedIn