CarMax · 14 hours ago
Sr. Data Scientist - Pricing Algorithms
CarMax is the nation's largest retailer of used cars, known for its commitment to integrity and customer experience. They are seeking a Senior Data Scientist specializing in Pricing Algorithms to develop and improve predictive models that aid in the pricing and allocation of vehicles across their stores.
AutomotiveMarketplaceOnline Portals
Responsibilities
Develop new models and improve our existing models
Interpret, 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, both at a general level and a detailed level
Qualification
Required
Either a bachelor's degree in a quantitative discipline OR equivalent experience and training through past employment
At least 2 years relevant work experience (Advanced study in a quantitative field may substitute for work experience), including experience applying strong foundational math and/or modeling skills to solve complex problems
Preferred
Expertise in selecting and applying various modeling techniques (supervised & unsupervised, classification & regression, etc.)
Python/SQL programming
Data cleaning and pre-processing
Statistical and probabilistic analysis
Company
CarMax
CarMax provides an online platform for searching new and used cars, researching models, and comparing vehicles.
Funding
Current Stage
Public CompanyTotal Funding
$98.19M2021-06-08Post Ipo Equity· $98.19M
1997-01-05IPO
Leadership Team
Recent News
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2026-01-13
2026-01-07
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