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Senior Data Scientist
Navy Federal Credit Union. Design, develop, and evaluate moderately complex predictive models and advanced algorithms for market intelligence and branch growth strategy .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in predictive modeling, statistical analysis, and machine learning to drive market intelligence and growth strategies. Proficient in data visualization and technical presentation, effectively translating complex data insights into actionable recommendations.
Highest-signal resume keywords
Predictive ModelingStatistical AnalysisPython ProgrammingSQL Data ManipulationData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Predictive ModelingStatistical AnalysisMachine LearningData AnalysisData ModelingAdvanced MathematicsTechnical WritingModel DevelopmentBig Data AnalysisResearch Skills
Soft Skills
Critical ThinkingProblem SolvingCollaborationCommunicationTechnical Presentation
Tools & Technologies
SQLPythonRDatabricksAlteryxArcGISData Visualization Tools
Industry Keywords
Market IntelligenceForecastingMember AnalyticsCustomer AnalyticsGrowth ModelingGeospatial DataDemographic Data
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, develop, and evaluate moderately complex predictive models and advanced algorithms for 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 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; 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 aid 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 stakeholder audiences
- Collaborate with business and geospatial partners to translate analytical findings into insights and recommendations
Requirements
What you’ll need- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields
- 3-5 years of experience in exploratory data analysis
- Basic understanding of business and 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
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research skills
- Working knowledge of procedures, instructions, and validation techniques
- Model development
- Critical thinking and problem solving
- Technical skills including big data analysis, coding, project management, and technical writing
- Master's/PhD degree in a relevant field (desired)
- Experience with Alteryx and/or ArcGIS (desired)
- Experience with market intelligence, forecasting, member or customer analytics, or growth modeling (desired)
- Experience incorporating spatial, geographic, or demographic data into analyses or predictive models (desired)
- Must be authorized to work in the United States without current or future sponsorship
- Monday-Friday availability, 8:00 AM-4:30 PM
Benefits
Comp & perks- Highly competitive pay
- Generous benefits and perks
- Meaningful career experience
- Energized, engaged, and committed culture
- Employee appreciation and recognition