Overview
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support credit risk decision-making. Understand business needs and identify opportunities for process optimization to meet business objectives using cutting-edge data science. Regarded as an advanced professional in the data science field who can conduct complex work under minimal supervision and with wide latitude for independent judgment. The role requires strong analytical skills, proficiency in data visualization tools, and the ability to communicate complex insights effectively.
Responsibilities
Develop, maintain, and manage advanced reporting, dashboards, data models and analytical results
Retrieve, analyze and validate data and interpret results
Lead projects to understand requirements and propose key analytical solutions to drive effective decision-making and influence business objectives
Develop and code complex software programs, algorithms, and automated processes
Use evaluation, judgment, and interpretation to select right course of action
Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
Transform data into charts, tables, or format that aids effective decision making
Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders
Develop and maintain strong working relationships with team members, subject matter experts, and leaders
Lead moderate to large projects and initiatives
Model best practices and ethical AI
Works with senior management on complex issues
Assist with the development and enhancement practices, procedures, and instructions
Serve as technical resource for other team members
Mentor lower levels
Qualifications
6+ years of working experience with requisite competencies
Complete knowledge and full understanding of specialization
Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Databricks, Scala, AWS
Tableau, Power BI, or related data visualization tools
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Advanced 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.)
Independent Judgment
Problem Solving (Identifies the constraints and risks)
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Desired Qualification(s)
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Hours: Monday - Friday, 8:00AM - 4:30PM
Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526
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.
Fortune 100 Best Companies to Work For 2025
Yello and WayUp Top 100 Internship Programs
Computerworld® Best Places to Work in IT
Newsweek Most Loved Workplaces
2025 PEOPLE® Companies That Care
Newsweek Most Trustworthy Companies in America
Military Times 2025 Best for Vets Employers
Best Companies for Latinos to Work for 2024
Forbes® 2025 America's Best Large Employers
Forbes® 2025 America's Best Employers for New Grads
Forbes® 2025 America's Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2025 Handshake Early Talent Award
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
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.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page (https://fa-etbx-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/nfcu/pages/employee-benefits) of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. REQNUMBER: 28062
