Senior Data Scientist – Auto Loan Pricing

Navy Federal Credit Union

Senior Data Scientist optimizing Auto Lending pricing at Navy Federal Credit Union. Building predictive models, pricing frameworks, and experiments to guide lending decisions.

Posted 8/19/2026full-timeVienna • Virginia • 🇺🇸 United StatesSenior💰 $113,300 - $155,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling, data analysis, and advanced algorithms, with a strong foundation in SQL, R, Python, and big data technologies. Capable of translating complex technical findings into actionable business insights while leading cross-functional projects in the Auto Lending sector.

Highest-signal resume keywords

Predictive ModelingSQLRPythonData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData AnalysisStatistical AnalysisModel DevelopmentData StorytellingTechnical WritingBig Data AnalysisProject ManagementAdvanced MathematicsSimulation

Soft Skills

Critical ThinkingProblem SolvingInitiativeSound JudgmentCommunication

Tools & Technologies

HadoopSASSPSSScalaAWSDatabricks

Industry Keywords

Auto LendingPricing StrategiesMarket IntelligenceData GovernanceModel Lifecycle Execution

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
Apply best practices and ethical AI principles
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 with cross-functional teams on pricing experiments and test-and-learn initiatives
Develop industry expertise in Direct and Indirect Auto Lending through competitive research, market intelligence, and bureau data assessments
Support organizational knowledge-sharing and stakeholder education

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
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 a similar quantitative field
Applicants must be authorized to work in the United States without current or future sponsorship
Monday-Friday availability, 8:00 AM-4:30 PM

Benefits

Comp & perks

Highly competitive pay
Generous benefits and perks
Employee referral program eligibility