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Senior Data Scientist

Navy Federal Credit Union
Vienna, USA
Full-time
Senior · 3–5 years experience
Hybrid
Discovered 2 days ago
alteryxdatabrickspythonsql

Full Job Posting

Qualifications

  • 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
  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526

Location:

  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526

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 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

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