About The Role

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.

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
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