Senior AI Data Scientist – Solutions Developer

USAA

AI Data Scientist developing predictive, machine-learning, and generative AI solutions for USAA’s financial services operations. Building cloud-based models and actionable insights for military-community members.

Posted 8/8/2026full-timeSan Antonio • Arizona, Texas • 🇺🇸 United StatesSenior💰 $143,320 - $273,930 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive analytics and data analysis, with a strong focus on developing and deploying machine learning models and algorithms. Proficient in communicating complex analytical results to non-technical stakeholders and mentoring junior data scientists.

Highest-signal resume keywords

Predictive AnalyticsMachine Learning Model DevelopmentPython for Statistical AnalysisSQL Querying and PreprocessingMLOps Integration in AWS or GCP

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive AnalyticsMachine LearningStatistical AnalysisModel ValidationAlgorithm DevelopmentData ManipulationModel Risk ManagementSupervised ModelingUnsupervised ModelingPrompt Engineering

Soft Skills

CommunicationMentoringProject ManagementProblem SolvingCollaboration

Tools & Technologies

PythonSQLHQLNoSQLLangChainLangGraphAgentCoreVertexAIAWSGCP

Industry Keywords

Data ScienceRisk ManagementModel Development ControlData EngineeringAI Solutions

Tech Stack

Tools & technologies

AWSGoogle Cloud PlatformNoSQLPythonSQL

About the role

Key responsibilities & impact

Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions
Develop scalable, automated solutions using machine learning, simulation, and optimization
Select modeling techniques and technologies based on data limitations, application, and business needs
Develop and deploy models within the Model Development Control and Model Risk Management frameworks
Compose technical documents for knowledge persistence, risk management, and technical review audiences
Assess business needs and recommend analytical and modeling projects
Prioritize analytics and modeling problems with business and analytics leaders
Build and maintain reusable, production-quality algorithms and supporting code
Translate business requests into analytical questions, execute analyses or modeling, and communicate actionable recommendations to non-technical colleagues
Manage project milestones, risks, and impediments; escalate issues that could limit success
Develop deployment best practices with Data Engineering and IT
Maintain awareness of cutting-edge techniques, technologies, and methodologies
Mentor junior data scientists
Participate in internal communities supporting data science technology and culture
Identify, measure, monitor, and control risks in accordance with policies and procedures

Requirements

What you’ll need

Bachelor's degree in mathematics, Computer Science, Statistics, Science, Engineering, or a quantitative field; OR 4 years of relevant education and/or experience; and 6+ years of experience in predictive analytics or data analysis
Advanced degree in mathematics, computer science, statistics, science and engineering, AI, or a similar quantitative discipline and 4+ years of experience in predictive analytics or data analysis
4+ years of experience training and validating statistical, physical, machine learning, and other advanced analytics models
4+ years of experience using Python for statistical analysis and/or building and scoring AI/ML models
Experience writing transparent, well-documented, and commented code
Strong experience querying and preprocessing structured and/or unstructured data using SQL, HQL, NoSQL, or similar query languages
Skill in ad-hoc descriptive, diagnostic, and inferential statistics
Understanding of latency, cost, and reliability constraints in AI solution design
Ability to assess and articulate regulatory implications across risk stripes
Experience documenting and statistically validating models for risk management
Advanced experience with supervised modeling, including regression, discriminant analysis, support vector machines, decision trees, and forest models
Advanced experience with unsupervised modeling, including k-means, hierarchical/agglomerative clustering, neighbors algorithms, and DBSCAN
Expertise developing LLMs and agentic systems using frameworks such as LangChain/LangGraph, AgentCore, VertexAI, MCP, or others
Proven experience with prompt engineering, tuning and post-training, multi-agent systems, agent optimization and tool use, RAG, context optimization, observability, and monitoring
MLOps integration experience facilitating production-scaled AI solutions in AWS or GCP
Experience communicating analytical and modeling results to non-technical business partners
Experience guiding and mentoring junior technical staff
Relocation assistance is not available
Must not require visa sponsorship or immigration support now or in the future

Benefits

Comp & perks

Remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs
Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program
Paid holidays
16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education
Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors