Senior Data Scientist (Model Factory Analyst)

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. Support marketing campaigns (e.g. email campaigns) using data analysis to monitor model decisions and impact. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives using 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.

• Design, develop, and evaluate moderately complex predictive models and advanced algorithms
• Identifies meaningful insights from large data and metadata sources
• Translate marketing concepts into machine learning
• 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
• Collaborate with multiple teams across marketing
• Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

• 3-5 years of experience in exploratory data and modeling analysis
• Programming, data modeling, simulation, and advanced mathematics 
• Python (or PySpark) and SQL skills
• Model development experience
• Data storytelling and technical presentation skills
• Technical writing
• Working knowledge of procedures, instructions, and validation techniques
• Ability to collaborate and build relationships
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Problem Solving (Responds as problems and issues are identified)
• Basic understanding of business and operating environment
• Statistics knowledge
• Understanding of experiment design
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

• Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
• Ability to translate marketing concepts into machine learning
• Pega experience including marketing campaigns
• Model factory software experience (e.g. DataRobot)
• PowerBI or similar experience
• Databricks knowledge

Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180