Data Scientist; Lending Analytics & Credit Risk
Listed on 2026-06-26
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Overview
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 analytical insights by extracting data through machine learning, programming, data modeling, and advanced mathematics to recognize complex patterns and identify opportunities to drive impact across the organization with a focus on managing credit risk. Developing an understanding of business needs and objectives through the use of basic descriptive, predictive, and prescriptive models. Perform routine assignments with increasing scope and complexity.
Work under close supervision with some latitude for problem solving within existing data platforms and tools. Developing professional with basic skill set and proficiency.
This position is eligible for the Talent Quest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.
Responsibilities- Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity
- Analyze and interpret results with some complexity
- Limited judgment and discretion within defined procedures and practices
- Develop and code basic software programs, algorithms, and automated processes
- 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
Required Qualifications
- 2-3 years of experience in exploratory data analysis
- Statistics
- Programming, data modeling, simulation, and mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Problem Solving (Responds as problems and issues are identified)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
- Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering
Monday - Friday, 8:00 AM - 4:30 PM
Location820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526
Equal Employment OpportunityAll 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.
AccommodationsIf 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 medical accommodations or by calling This team cannot provide any information on job postings or application status.
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