Overview
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. Support marketing campaigns (e.g. email campaigns) using data analysis to monitor model decisions and impact. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives using cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. 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
Design, develop, and evaluate moderately complex predictive models and advanced algorithms
Identifies meaningful insights from large data and metadata sources
Translate marketing concepts into machine learning
Test hypotheses/models, analyze, and interpret results
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 and subject matter experts
Lead small projects and initiatives
Collaborate with multiple teams across marketing
Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Qualifications
3-5 years of experience in exploratory data and modeling analysis
Programming, data modeling, simulation, and advanced mathematics
Python (or PySpark) and SQL skills
Model development experience
Data storytelling and technical presentation skills
Technical writing
Working knowledge of procedures, instructions, and validation techniques
Ability to collaborate and build relationships
Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
Problem Solving (Responds as problems and issues are identified)
Basic understanding of business and operating environment
Statistics knowledge
Understanding of experiment design
Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Desired Qualifications
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Ability to translate marketing concepts into machine learning
Pega experience including marketing campaigns
Model factory software experience (e.g. DataRobot)
PowerBI or similar experience
Databricks knowledge
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180
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 2025
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.
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 medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
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: 28966
