Senior Data Scientist

Navy Federal Credit Union•Vienna, VA

2d•$100,400 - $157,400•Onsite

About The Position

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision-making across the organization. Understand business needs and identify opportunities for new products, services, and process optimization using data science. Create descriptive, predictive, and prescriptive models and insights to drive organizational impact. Assignments are of increasing complexity and are performed under moderate supervision, with some latitude for independent judgment. The role is an intermediate professional position requiring a moderate skill set and proficiency in the discipline. This position is part of the Branch Operations Insights and Analytics team and supports market intelligence and branch growth strategy. It applies advanced analytics to understand market opportunities, membership growth, product adoption, and member engagement. The role collaborates with business and geospatial partners to translate analytical findings into insights and recommendations.

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.
Knowledge of model lifecycle execution, model development, and validation techniques.
Technical writing, data storytelling, and technical presentation skills.
Research, interpersonal, communication, critical-thinking, problem-solving, and relationship-building skills.
Working knowledge of procedures and instructions.
Initiative and sound judgment.
Technical skills including big data analysis, coding, project management, and technical writing.

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 to support 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 opportunity 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.
Exercise sound judgment and discretion within defined procedures and practices.
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.
Develop predictive models and analytical frameworks to forecast membership growth, product adoption, and market potential.
Analyze member, demographic, geographic, and behavioral data to identify market opportunities and inform branch growth strategy.
Collaborate with business and geospatial partners to translate analytical findings into insights and recommendations.