Manager of Data Science developing pricing algorithms for CarMax to price cars effectively. Focused on modeling and data-driven insights to improve purchasing decisions.
Responsibilities
Develop new models and improve existing models
Analyze, validate, and apply feature engineering to large and complex pricing-related data sets
Find creative ways to incorporate new insights and data sources
Leverage statistical / machine learning techniques and sound reasoning to develop, validate, and improve predictive models
Design controlled experiments to assess the business value of new models
Present insights and recommendations to senior leaders to drive change
Help CarMax continue to develop its data expertise
Research innovations and best practices related to data sources, modeling methodologies, and data science tools
Influence the team in the development of our modeling capability strategic roadmap
Effectively communicate how our models work to team members
Requirements
4+ years experience in strategy, analysis, data science, or related field
Four year undergraduate degree with exceptional academic performance (Masters or Ph.D. in an analytical field is a plus)
Strong modeling skills and a desire to continue to grow those skills
Exceptional logical reasoning skills
Solid foundational math, computer science, and machine learning skills
Ability to influence the team’s results
Experience managing your own projects and delivering timely results
Record of building and maintaining strong working relationships
Ability to explain standard or novel modeling methods
Desire to develop into an effective technical leader and/or people manager
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