Senior Data Scientist (Member Analytics & Strategy)

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 advanced analytical insights using member, financial, and organizational data to support mission‑critical decision‑making across the enterprise. Partner with business units to understand business needs, translate them into analytical solutions, and identify opportunities for new products, services, and process optimization through the application of advanced analytics. Design, develop, and deploy descriptive, predictive, and prescriptive models that inform strategy, improve performance, and optimize member outcomes. Embed analytics into strategic planning and operational workflows to enable leaders to measure what matters, identify growth opportunities, and anticipate member needs. Perform work assignments of increasing complexity under moderate supervision, exercising sound independent judgment. Serve as an experienced professional within the field, applying a strong, well‑developed skill set and proficiency in data science and analytics methodologies.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you. 

• Design and develop analytical solutions, segmentation logic, and moderately complex algorithms to support member analytics and enterprise decision‑making

• Identify meaningful insights from large, complex member, financial, and organizational data and metadata sources

• Apply analytical techniques, trend analysis, and exploratory methods to interpret data and generate actionable insights

• Exercise sound judgment and discretion within defined procedures and practices, applying independent analytical reasoning

• Use analytical modeling and trend analysis to assess patterns in member behavior, performance, and outcomes

• Apply and promote best practices related to responsible analytics and ethical use of data and AI

• Transform complex analytical results into clear charts, tables, and data products that support effective decision‑making

• Build strong working relationships with team members, business partners, and subject matter experts

• Lead potentially high‑impact projects or workstreams, contributing technical direction and analytical expertise

• Communicate findings through effective written and verbal documentation and presentations to a diverse set of stakeholders, including senior leadership or executive level

• 3+ years of experience in exploratory data analysis

• Advanced understanding of business and operating environment

• Knowledge of statistics, programming, data modeling, simulation, and advanced mathematics

• Experience with large data environments and modern analytical tools.

• Experience with model lifecycle execution, including model development, testing, and validation

• Experience presenting analytical findings and insights to audiences with varying technical backgrounds

• Strong data storytelling and technical presentation skills, including experience creating presentation materials in PowerPoint.

• Experience documenting analytical work, technical documentation, and drafting SOPs

• Strong research, analytical, and critical thinking skills.

• Ability to collaborate and build relationships across technical and business teams

• Strong problem solving skills and sound judgment when responding to issues and opportunities

• Technical skills including big data analysis, coding, project management, and technical writing

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field

 

Desired Qualifications

• Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative discipline

• Experience working in consulting or highly cross-functional analytical environments

• Experience owning analytical projects or leading small analytical initiatives

• Experience working in cloud or distributed data environments

 

Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180

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 compe