Senior Data Scientist

Navy Federal Credit Union; Vienna (VA); On-site; USD 115,000 - 170,000; Full time

Job summary

Navy Federal Credit Union in Vienna, VA is seeking an Senior Data Scientist to independently deliver data science, ML, and analytical insights using member, financial, and organizational data to support mission critical decision making. This role focuses on risk and compliance‑focused analytics, evaluating models, policies, and business practices for potential fair lending and consumer compliance risk.

The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to

Qualifications

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers 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 techniquesModel 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)

Responsibilities

• Evaluate moderately complex predictive models and advanced algorithms
• Identifies 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 format that aids 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

Skills

Data analysis

Python

SQL

R

Machine learning

Communication

Team collaboration

Statistical modeling

Education

Bachelor's degree in Data Science/Statistics/Mathematics/Computer Science/Engineering

Master’s degree (preferred) in Data Science or related field

Tools

Hadoop

SAS

Spark

AWS

Git

Job description

Overview

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

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.

This role supports risk and compliance‑focused analytics, including the evaluation of models, policies, and business practices for potential fair lending and consumer compliance risk. The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to assess outcomes, test assumptions, and identify potential bias, while partnering with stakeholders to support responsible and compliant business decisions.

Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

Responsibilities

• Evaluate moderately complex predictive models and advanced algorithms
• Identifies 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 format that aids 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

Qualifications

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers 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 techniquesModel 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)

Desired Qualifications

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
• Experience supporting compliance, risk, or fair lending analytics in a financial services environment
• Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) and evaluating models or policies for potential bias
• Experience assessing or validating models, including machine learning models, for fairness or governance considerations

Additional Information

• Monday - Friday, 8:00AM - 4:30PM

Location

• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526
• 141 Security Drive, Winchester, VA 22602

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

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• 2026 Handshake Early Talent Award
• Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

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Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations

If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at [e-mail] or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.

Bank Secrecy Act

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.