Senior Data Scientist

Navy Federal • Pensacola, FL

1d • Onsite

About The Position

Navy Federal Credit Union is hiring a Senior Data Scientist for its Branch Operations Insights and Analytics team. The role supports market intelligence and branch growth strategy by applying advanced analytics to understand market opportunities, membership growth, product adoption, and member engagement. The position provides independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision-making across the organization. It identifies business opportunities for new products, services, and process optimization and develops descriptive, predictive, and prescriptive models and insights. The work involves assignments of increasing complexity under moderate supervision, with some latitude for independent judgment. The position is described as an intermediate professional role requiring a moderate skill set and proficiency in the discipline.

The role designs and evaluates predictive models and algorithms; analyzes member, demographic, geographic, financial, and behavioral data; and develops analytical frameworks to forecast growth, estimate market potential, and support strategic planning. It also translates data and analytical findings into visualizations, recommendations, and presentations for a diverse audience of stakeholders.

Applicants must be authorized to work in the United States without current or future sponsorship; Navy Federal Credit Union does not provide sponsorship for this role. The position is listed at locations in Vienna, Virginia, and Pensacola, Florida, with hours of Monday through Friday, 8:00 AM to 4:30 PM.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.
• 3–5 years of experience in exploratory data analysis.
• Basic understanding of business and the operating environment.
• Knowledge of statistics, programming, data modeling, simulation, and advanced mathematics.
• Experience using SQL to extract, manipulate, and analyze data.
• Proficiency in Python and/or R for data analysis and modeling.
• Experience using Databricks to prepare and analyze large datasets.
• Experience using data visualization tools to communicate insights and support decision-making.
• Skills in model lifecycle execution, technical writing, data storytelling, technical presentations, research, and interpersonal communication.
• Working knowledge of procedures, instructions, and validation techniques.
• Skills in model development, communication, critical thinking, collaboration, relationship building, initiative, sound judgment, problem solving, big data analysis, coding, and project management.
• Authorization to work in the United States without current or future sponsorship.

Nice To Haves

• Master's or Ph.D. degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering.
• Experience with Alteryx and/or ArcGIS.
• Experience with market intelligence, forecasting, member or customer analytics, or growth modeling.
• Experience incorporating spatial, geographic, or demographic data into analyses or predictive models.

Responsibilities

• Design, develop, and evaluate moderately complex predictive models and advanced algorithms supporting market intelligence and branch growth strategy.
• Apply statistical analysis, machine learning, forecasting, and trend analysis to identify patterns and generate business insights.
• Analyze member, demographic, geographic, financial, and behavioral data to assess market opportunities and understand drivers of membership growth, product adoption, and engagement.
• Develop models and analytical frameworks to forecast growth, estimate market potential, and support strategic planning.
• Identify meaningful insights from large data and metadata sources; test hypotheses and models, and analyze and interpret results.
• Develop and code moderately complex software programs, algorithms, and automated processes.
• Use modeling and trend analysis to analyze data and provide insights.
• Develop understanding of best practices and ethical AI.
• Transform data into charts, tables, or other formats that support effective decision-making.
• Build working relationships with team members and subject matter experts.
• Lead small projects and initiatives.
• Document and present analytical findings to diverse stakeholders using effective written and verbal communication.
• Collaborate with business and geospatial partners to translate analytical findings into insights and recommendations.
• Exercise sound judgment and discretion within defined procedures and practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior