Union Data Scientist Jobs in Washington (NOW HIRING)

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.

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.

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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 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.

• 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

• 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