Associate Data Scientist/ Data Scientist

Navy Federal Credit Union is seeking a Data Scientist to support its Digital Data Science & Analytics team. The role analyzes member digital behavior, develops predictive and AI-enabled solutions, and partners with product, technology, and business teams to improve digital experiences and operations.

What you'll do:

• 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

What they're looking for:

• ***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.***
• * 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
• * Master's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields

Benefits:

• Hybrid work arrangement