Senior Data Scientist

Navy Federal Credit Union is hiring a Senior Data Scientist for the Branch Operations Insights and Analytics team, supporting mission-critical decisions through data science, machine learning, and analytical insights. This onsite role helps drive market intelligence and branch growth strategy by turning complex data into practical, stakeholder-ready recommendations.

Location: Vienna, VA (onsite). Additional onsite location(s) include 820 Follin Lane, Vienna, VA 22180 and 5510 Heritage Oaks Drive, Pensacola, FL 32526.

Compensation: USD 100,400 - 157,400 per year.

Schedule: Monday - Friday, 8:00AM - 4:30PM.

What you’ll do

• Design, develop, and evaluate moderately complex predictive models and advanced algorithms for market intelligence and branch growth strategy.
• Apply statistical analysis, machine learning, forecasting, and trend analysis to identify patterns and generate business insights.
• Analyze member, demographic, geographic, financial, and behavioral data to assess market opportunity and understand drivers of membership growth, product adoption, and engagement.
• Develop analytical frameworks to forecast growth, estimate market potential, and support strategic planning.
• Work with large data and metadata sources to identify meaningful insights.
• Test hypotheses, analyze results, and interpret findings using sound judgment and discretion within established procedures.
• Develop and code moderately complex software programs, algorithms, and automated processes.
• Transform data into charts, tables, or formats that support effective decision-making.
• Build working relationships with team members and subject matter experts, and lead small projects and initiatives.
• Use effective written and verbal communication to document and present analyses to diverse stakeholder audiences.
• Collaborate with business and geospatial partners to translate analytical findings into actionable recommendations.
• Develop an understanding of best practices and ethical AI.

What you bring

• Bachelor’s Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or a similar quantitative field.
• 3-5 years of experience in exploratory data analysis (minimum experience: 3 years).
• Basic understanding of business and operating environment.
• Strong foundation in statistics, programming, data modeling, simulation, and advanced mathematics.
• Experience using SQL to extract, manipulate, and analyze data.
• Proficiency in Python and/or R for data analysis and modeling.
• Experience using Databricks to prepare and analyze large datasets.
• Experience with data visualization tools to communicate insights and support decision-making.
• Technical skills across the model lifecycle, including model development and execution.
• Technical writing, data storytelling, and technical presentation skills.
• Research and critical thinking skills, plus collaboration and relationship-building experience.
• Working knowledge of procedures, instructions, and validation techniques.
• Sound judgment, initiative, and problem-solving mindset to respond to issues as they arise.

Technologies

• Python
• R
• SQL
• Databricks

Preferred qualifications

• Master’s/PhD in Data Science, Statistics, Mathematics, Computers Science, or Engineering.
• Experience with Alteryx and/or ArcGIS.
• Experience with market intelligence, forecasting, member or customer analytics, or growth modeling.
• Experience incorporating spatial, geographic, or demographic data into analyses or predictive models.