Senior Data Scientist

Navy Federal Credit Union • Vienna, VA • 2h ago

Overview

This role in Fraud Analytics Data Science team is responsible for designing, evaluating, and maintaining advanced analytical and machine learning solutions to detect and prevent Identity Theft fraud. This role focuses on improving fraud detection effectiveness while minimizing false positives, operational friction, and member impact. The position requires strong analytical judgment, end-to-end ownership of complex analyses, and close collaboration with cross-functional partners. The role includes engagement with third-party fraud vendors, focused on analytical validation and model performance oversight. This role analyze complex datasets for fraud patterns, and collaborate with cross-functional teams and vendor to enhance fraud detection systems and communicate analytical insights to stakeholders and executive leadership. Principal-level candidates will also be considered.

Responsibilities

Lead development, evaluation, and enhancement of statistical and machine learning models used for fraud detection.

Conduct deep - dive analyses on fraud trends, large - loss events, false positives, and operational drivers.

Design and validate feature engineering approaches using transactional, behavioral, and operational data.

Apply appropriate techniques for highly imbalanced datasets, including cost - sensitive modeling and anomaly detection.

Translate analytical findings into clear, actionable recommendations.

Conduct deep-dive analyses on fraud patterns

Work with large-scale datasets, ensuring data quality, feature engineering and model interpretability

Develop algorithms and automate processes in cloud environment

Use modeling and trend analysis to analyze data

Collaborate with team members and participate in team projects and initiatives

Utilize effective written and verbal communication to document and present findings

Qualifications

3-5 years of experience in exploratory data analysis and predictive modeling

Solid foundation in statistics and machine learning techniques

Experience working with highly imbalanced datasets

Ability to communicate complex technical findings to non-technical stakeholders

Strong programming skills in PySpark, Python, SQL

Technical writing

Data storytelling and technical presentation skills

Model Development

Communication

Critical Thinking

Collaborate and Build Relationships

Master's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

PhD's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering

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: 29215

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