Data Scientist - Hybrid

Data Scientist - Hybrid (Vienna, VA or Pensacola, FL) As a Data Scientist, you will leverage your analytical expertise to transform member, financial, and organizational data into actionable insights that support mission-critical decision making across the organization. You'll identify opportunities for new products, services, and process optimization through cutting-edge data science techniques. In this role, you'll create descriptive, predictive, and prescriptive models that drive meaningful impact while working with increasing independence and applying your professional judgment. Responsibilities • Design, develop, and evaluate moderately complex predictive models and advanced algorithms • Identify 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 formats that aid 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 Qualifications • 3-5 years of experience in exploratory data analysis • Basic understanding of business and operating environment • Strong foundation in statistics • Experience with programming, data modeling, simulation, and advanced mathematics • Proficiency in one or more of: SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS • Experience with model lifecycle execution • Technical writing ability • Data storytelling and technical presentation skills • Research skills • Strong interpersonal skills • Working knowledge of procedures, instructions, and validation techniques • Model development experience • Excellent communication skills • Critical thinking abilities • Collaborative approach and relationship-building skills • Initiative with sound judgment • Technical expertise (Big Data Analysis, Coding, Project Management, Technical Writing) • Problem-solving abilities • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative fields • Desired: Master's/PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering