Associate Data Scientist/ Data Scientist

Navy Federal Credit Union; Pensacola (FL); On-site; USD 80,000 - 136,000; Full time

Job summary

Navy Federal Credit Union is seeking an early- to mid-career Data Scientist to solve real-world business problems through data and AI-enabled solutions. You will work with cross-functional partners to transform questions into actionable insights that improve member experiences and digital operations.

The role involves exploring member behavior with Python/SQL, building predictive models, and supporting NLP, sentiment analysis, and AI-driven workflows.

Qualifications

• Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or similar quantitative fields.
• 1-4 years' experience conducting data science, business intelligence, analytics, or statistical analysis related project work
• Basic programming experience in data modeling and database management
• SQL, Python, R
• Experience using AI tools such as Copilot, Claude, ChatGPT, Azure AI Foundry, LangChain, Semantic Kernel, Azure AI Services, or similar frameworks
• Familiarity with machine learning concepts including classification, logistic regression, clustering models like k-means, tree-based models like random forest or XGBoost, recommendation systems, NLP, and sentiment modeling
• Familiarity with traditional modeling techniques such as regression, logistic models, or time series models such as ARIMA or Prophet
• Experience using cloud analytical environments such as Azure, Databricks, AWS, or GCP

Responsibilities

• Analyze member digital behavior using Python and SQL
• Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience
• Partner with business stakeholders and product teams to solve digital experience challenges
• Build and deploy analytical solutions that provide actionable business insights
• Assist in development of predictive and machine learning models
• Support AI-powered summarization and classification workflows using large language models
• Support agent-building solutions for workflow automation and productivity tools
• Develop NLP and sentiment analysis solutions using customer feedback data
• Analyze app reviews, surveys, contact center data, social media, and digital feedback sources
• Communicate findings through reports, presentations, dashboards, and storytelling
• Collaborate with senior data scientists to design and evaluate advanced analytical solutions
• Knowledge of financial services, digital products, or customer experience analytics is beneficial but not required

Skills

Python

SQL

R

Communication skills

Education

Bachelor's degree in quantitative field

Master's degree in data science or related field

Tools

Azure

Databricks

AWS

GCP

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.

Our Digital Data Science & Analytics team is focused on understanding and improving the digital experiences of our members. Through analytics, predictive modeling, and AI-enabled solutions, we help uncover insights, inform strategic decisions, and enhance digital experiences and operations across the organization.

We are seeking a motivated early- to mid-career Data Scientist who is passionate about solving real-world business problems through data. This role is ideal for someone who enjoys combining statistical analysis, machine learning, experimentation, behavioral analytics, and emerging AI capabilities to uncover insights and drive measurable impact.

As a member of our team, you will collaborate with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Our team draws from a broad range of analytical, machine learning, and AI techniques to deepen understanding of member behavior and digital experiences. This work spans areas such as digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, member behavior modeling, feature adoption measurement, and operational optimization, helping drive better decisions, improve member outcomes, and enhance the digital experience for millions of members.

Responsibilities

• Analyze member digital behavior using Python and SQL
• Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience
• Partner with business stakeholders and product teams to solve digital experience challenges
• Build and deploy analytical solutions that provide actionable business insights
• Assist in development of predictive and machine learning models
• Support AI-powered summarization and classification workflows using large language models
• Support agent-building solutions for workflow automation and productivity tools
• Develop NLP and sentiment analysis solutions using customer feedback data
• Analyze app reviews, surveys, contact center data, social media, and digital feedback sources
• Communicate findings through reports, presentations, dashboards, and storytelling
• Collaborate with senior data scientists to design and evaluate advanced analytical solutions
• Knowledge of financial services, digital products, or customer experience analytics is beneficial but not required

Qualifications

• Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields
• 1-4 years' experience conducting data science, business intelligence, analytics, or statistical analysis related project work
• Basic programming experience in data modeling and database management
• SQL, Python, R
• Experience using AI tools such as Copilot, Claude, ChatGPT, Azure AI Foundry, LangChain, Semantic Kernel, Azure AI Services, or similar frameworks
• Familiarity with machine learning concepts including classification, logistic regression, clustering models like k-means, tree-based models like random forest or XGBoost, recommendation systems, NLP, and sentiment modeling
• Familiarity with traditional modeling techniques such as regression, logistic models, or time series models such as ARIMA or Prophet
• Experience using cloud analytical environments such as Azure, Databricks, AWS, or GCP
• Strong curiosity and ability to learn new technologies quickly
• Excellent communication and storytelling skills

Desired Qualifications

• Master's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields
• Strong Python skills
• Strong SQL skills
• Data storytelling and technical presentation skills

Additional Information

Hours

• Monday - Friday, 8:00AM - 4:30PM

Location

• 820 Follin Lane, Vienna, VA 22180
• 5510 Heritage Oaks Drive, Pensacola, FL 32526
• 141 Security Drive, Winchester, VA 22602

Salary

• Associate Data Scientist: $70,000 - $118,050 annually
• Data Scientist: $80,400 - $135,600 annually

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.

Bank Secrecy Act

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