Senior Data Scientist, Membership Analytics

Navy Federal Credit Union

Senior Data Scientist providing data-driven insights to optimize products and services for Navy Federal Credit Union. Involves advanced data analysis, modeling, and collaboration within a team.

Posted 7/24/2026full-timeVienna • Virginia • 🇺🇸 United StatesSenior💰 $99,400 - $155,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and machine learning, with a strong ability to develop predictive models and provide analytical insights. Proficient in programming and data analysis tools, with effective communication skills to present findings to diverse stakeholders.

Highest-signal resume keywords

Data ScienceMachine LearningPredictive ModelingSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Exploratory Data AnalysisStatisticsData ModelingSimulationAdvanced MathematicsModel DevelopmentBig Data AnalysisTechnical WritingData StorytellingProblem Solving

Soft Skills

Interpersonal SkillsCommunicationCritical ThinkingCollaborationInitiative

Tools & Technologies

RHadoopSASSPSSScalaAWS

Industry Keywords

Model Lifecycle ExecutionEthical AIData AnalysisDecision MakingProject Management

Tech Stack

Tools & technologies

AWSHadoopPythonScalaSQL

About the role

Key responsibilities & impact

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.
Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Design, develop, and evaluate moderately complex predictive models and advanced algorithms.
Identifies meaningful insights from large data and metadata sources.
Test hypotheses/models, analyze, and interpret results.
Exercise sound judgment and discretion within defined procedures and practices.
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 format that aids effective decision making.
Build working relationships with team members and subject matter experts.
Lead small projects and initiatives.
Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders.

Requirements

What you’ll need

3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Working knowledge of procedures, instructions, and validation techniques
Model Development
Communication
Critical Thinking
Collaborate and Build Relationships
Initiative with sound judgement
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Sound Judgment
Problem Solving (Responds as problems and issues are identified)
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
**Desired Qualifications**
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options