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. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. This position is part of the Branch Operations Insights and Analytics team and supports market intelligence and branch growth strategy. The role applies advanced analytics to better understand market opportunities, membership growth, product adoption, and member engagement. • 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 meaningful business insights • Analyze member, demographic, geographic, financial, and behavioral data to assess market opportunity and understand the drivers of membership growth, product adoption, and engagement. • Develop models and analytical frameworks to forecast growth, estimate market potential, and support strategic planning. • Identifies meaningful insights from large data and metadata sources • Test hypotheses/models, 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 format that aids effective decision making • Build working relationships with team members and subject matter experts • Lead small projects and initiatives • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders • 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 • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields • 3-5 years of experience in exploratory data analysis • Basic understanding of business and operating environment • 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 • Model lifecycle execution • Technical writing • Data storytelling and technical presentation skills • Research Skills • Interpersonal Skills • Working knowledge of procedures, instructions, and validation techniques • Model Development • Communication • Critical Thinking • Collaborate and Build Relationships • Initiative with sound judgement • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) • Sound Judgment • Problem Solving (Responds as problems and issues are identified) Desired Qualifications • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers 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 Additional Information Hours: • Monday - Friday, 8:00AM - 4:30PM Location: • 820 Follin Lane, Vienna, VA 22180 • 5510 Heritage Oaks Drive, Pensacola, FL 32526