Senior Data Scientist

Navy Federal Credit Union

Senior Data Scientist providing independent data science and analytical insights using member and financial data at Navy Federal Credit Union. Support critical decision-making for various organizational areas.

Posted 7/6/2026full-timeVienna • Florida, Virginia • 🇺🇸 United StatesSenior💰 $99,400 - $155,850 per yearWebsite

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.
Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.
Evaluate moderately complex predictive models and advanced algorithms.
Identify meaningful insights from large data and metadata sources.
Test hypotheses/models, analyze, interpret, and document results.
Review input data, assumptions, and outcomes of models and analytical frameworks to assess potential risk and fairness considerations. 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 formats that aid effective decision making.
Build working relationships with team members, business partners, compliance, legal, 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

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields
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)

Benefits

Comp & perks

Competitive pay
Generous benefits and perks
Meaningful career experience
Culture that is energized and engaged

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisStatistical AnalysisProgrammingData ModelingSimulationAdvanced MathematicsModel DevelopmentTechnical WritingData StorytellingModel Lifecycle Execution

Soft Skills

CommunicationCritical ThinkingInterpersonal SkillsProblem SolvingInitiative