Data Scientist

Navy Federal Credit Union; Pensacola (FL); On-site; USD 90,000 - 120,000; Full time

Job summary

Navy Federal Credit Union is seeking a data-focused professional to design, develop, and evaluate predictive models and automated reporting. You will work closely with analytics teams to translate complex data patterns into actionable business insights and support decision making across the organization.

Ideal candidates have a quantitative degree, 2-3 years of exploratory data analysis experience, and strong communication skills to present findings to non-technical stakeholders.

Qualifications

• Bachelor's degree in quantitative field.
• 2-3 years exploring data.
• Strong data storytelling and visualization.
• Experience developing automated reporting with dashboards.
• Proficiency in SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS.
• Model lifecycle execution and technical writing.
• Research and interpersonal skills.
• Ability to collaborate with non-technical stakeholders.

Responsibilities

• Design and evaluate basic predictive models with some complexity.
• Analyze and interpret results with some complexity.
• Limited judgment within defined procedures.
• Develop and code basic software programs and automated processes.
• Use modeling and trend analysis to analyze data.
• Collaborate with team members and participate in projects.
• Document and present findings clearly.

Skills

Data analysis

SQL

Python

Tableau/Power BI

Data storytelling

Statistical modeling

Programming

Communication

Problem Solving

Education

Bachelor's in Data Science

Master's in Data Science

Tools

Python

R

SQL

Hadoop

SAS

SPSS

AWS

Job description

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. 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.

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

Qualifications

• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
• 2-3 years of experience in exploratory data analysis
• Statistics
• Strong data storytelling and visualization skills, with ability to translate complex data and analytical findings into clear actionable insights for non-technical stakeholders
• Proven Experience developing and optimizing automated reporting: dashboards, and visualizations in Tableau/Power BI/excels to communicate performance, trends, and business insights
• 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)

  
  

Desired Qualifications

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

Additional Information

Hours:

• Monday - Friday, 8:00AM - 4:30PM

Location:

• 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 2026* Yello and WayUp Top 100 Internship Programs 2025* Computerworld Best Places to Work in IT 2026* Most Loved Workplace - America's Top Most Loved Workplaces 2025* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America 2026* Military Times 2025 Best for Vets Employers* Forbes 2026 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* 2026 Handshake Early Talent Award* Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates 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 [e-mail] 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 of the Navy Federal Career Site.

Bank Secrecy Act:

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.