Senior Data Scientist – Auto Loan Pricing

Navy Federal Credit Union

. Design, develop, and evaluate moderately complex predictive models and advanced algorithms .

Posted 10/5/2026full-timeVienna • Virginia • United StatesSenior💰 $113,300 - $155,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, data analysis, and algorithm development, with a strong foundation in statistics and programming. Capable of translating complex data insights into actionable business strategies while leading projects in the Auto Lending sector.

Highest-signal resume keywords

Predictive ModelingData AnalysisSQLPythonProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData AnalysisStatisticsProgrammingData ModelingSimulationAdvanced MathematicsModel DevelopmentBig Data AnalysisTechnical Writing

Soft Skills

Critical ThinkingProblem SolvingInitiativeSound JudgmentData Storytelling

Tools & Technologies

SQLRPythonHadoopSASSPSSScalaAWSDatabricks

Industry Keywords

Auto LendingPricing StrategiesMarket IntelligenceCompetitive ResearchData Insights

Tech Stack

Tools & technologies

AWSHadoopPythonScalaSQL

About the role

Key responsibilities & impact

Design, develop, and evaluate moderately complex predictive models and advanced algorithms
Identify meaningful insights from large data and metadata sources using effective analytical tools, methodologies, and technologies
Test hypotheses and models; analyze and interpret results
Develop and code moderately complex software programs, algorithms, and automated processes
Use modeling and trend analysis to analyze data and provide insights
Develop understanding of best practices and ethical AI
Transform data into charts, tables, or other formats that support effective decision-making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Communicate pricing strategies and analytical approaches to stakeholders, translating technical findings into business-relevant insights
Lead review and governance of pricing policies and portfolio performance, including recurring pricing analyses, monitoring, and optimization initiatives
Design and enhance pricing frameworks for Auto Lending products using advanced analytics, predictive modeling, and optimization techniques
Lead and collaborate on pricing experiments and test-and-learn initiatives to analyze borrower behavior and pricing elasticity
Develop industry expertise in Direct and Indirect Auto Lending through competitive research, market intelligence, and bureau data assessments

Requirements

What you’ll need

3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Knowledge of statistics
Programming, data modeling, simulation, and advanced mathematics
Experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, and Databricks
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research skills
Working knowledge of procedures, instructions, and validation techniques
Model development
Critical thinking
Initiative with sound judgment
Big data analysis, coding, project management, and technical writing
Problem solving
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative field
Applicants must be authorized to work in the United States without current or future sponsorship

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks
Employee referral program eligibility