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Senior Data Scientist, Search and Recommendations
CARMAX
📍
Richmond, United States
Location
Richmond
Posted
June 04, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238
CarMax, the way your career should be!
Sr. Data Scientist, Search and Recommendations
About The Team
The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping experience for our customers. We see millions of customers every week across web and mobile. We deploy custom deep learning embedding models, ranking and segmentation algorithms, and are constantly testing new approaches. Our systems are used in dozens of product use cases across the retail and wholesale businesses, which means we partner with many diverse teams throughout the organization.
About The Role
Understanding our business - the used vehicle market, our customers, and our digital products - is at the heart of what we do on this team. Our data is massive, rich, and often challenging to ...
CarMax, the way your career should be!
Sr. Data Scientist, Search and Recommendations
About The Team
The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping experience for our customers. We see millions of customers every week across web and mobile. We deploy custom deep learning embedding models, ranking and segmentation algorithms, and are constantly testing new approaches. Our systems are used in dozens of product use cases across the retail and wholesale businesses, which means we partner with many diverse teams throughout the organization.
About The Role
Understanding our business - the used vehicle market, our customers, and our digital products - is at the heart of what we do on this team. Our data is massive, rich, and often challenging to ...