Senior Data Scientist – Model Development

USAA

. Translate business problems into applied statistical, machine learning, simulation, and optimization solutions .

Posted 11/3/2026full-timeUnited StatesSenior💰 $143,320 - $273,930 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive analytics, machine learning, and statistical modeling, with a strong ability to translate complex data into actionable business insights. Proficient in collaborating with cross-functional teams to deliver scalable solutions while adhering to regulatory standards and best practices.

Highest-signal resume keywords

Predictive AnalyticsMachine LearningStatistical ModelingPython ProgrammingModel Risk Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData AnalysisModel DevelopmentAlgorithm DevelopmentData PreprocessingSQL QueryingRegression AnalysisClustering TechniquesTechnical DocumentationAd-Hoc Analytics

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingProject Management

Tools & Technologies

PythonRSASSQLHQLNoSQLData EngineeringCloud TechnologiesModel GovernanceEmerging Technologies

Industry Keywords

BankingRisk ManagementRegulatory ComplianceData ScienceQuantitative Analysis

Tech Stack

Tools & technologies

CloudNoSQLPythonSQL

About the role

Key responsibilities & impact

Translate business problems into applied statistical, machine learning, simulation, and optimization solutions
Advise actionable business insights and drive value through automation, revenue generation, and expense and risk reduction
Deliver scalable solutions with engineering partners and enable customer-facing applications
Use database, cloud, and programming knowledge to build analytical modeling solutions
Collaborate with data scientists to improve USAA tooling and expand internal packages and applications
Work with Model Risk Management to validate model results and stability before production deployment
Gather, interpret, and manipulate structured and unstructured data
Develop scalable, automated machine learning, simulation, and optimization solutions
Select modeling techniques and technologies based on data limitations, applications, and business needs
Develop and deploy models within the Model Development Control and Model Risk Management frameworks
Compose technical documentation 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/models, and communicate outcomes to non-technical colleagues
Manage project milestones, risks, and impediments; escalate potential issues
Develop deployment best practices with Data Engineering and IT
Maintain awareness of emerging techniques, technologies, and methodologies
Mentor junior data scientists in modeling, analytics, and computer science
Participate in internal communities supporting data science technology and culture
Identify, measure, monitor, and control risks in accordance with risk and compliance policies

Requirements

What you’ll need

Bachelor’s degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or another similar quantitative discipline; OR 4 years of additional related experience may substitute for the degree
6 years of experience in predictive analytics or data analysis, OR an advanced degree in 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 a dynamic scripted language such as Python or R for statistical analyses and/or building and scoring AI/ML models
Proven experience writing easy-to-follow, well-documented, and appropriately commented code
Strong experience querying and preprocessing structured and/or unstructured database data using SQL, HQL, NoSQL, or similar query languages
Strong experience working with structured, semi-structured, and unstructured data files, including delimited numeric files, JSON/XML files, text documents, and images
Demonstrated skill performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics
Ability to assess and articulate regulatory implications and expectations of modeling efforts
Advanced experience with classical supervised modeling, including linear/logistic 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
Experience guiding and mentoring junior technical staff in business interactions and model building
Experience communicating analytical and modeling results to non-technical business partners with emphasis on recommendations and actionable applications
USAA does not provide visa sponsorship; applicants must not require immigration support now or in the future
Medium or large bank experience
Strong knowledge of Python and/or SAS
Control partner collaboration experience
Knowledge of Model Risk Management, Model Governance, and regulatory requirements

Benefits

Comp & perks

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
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
Remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs