8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238
CarMax, the way your career should be!

QUALIFICATIONS AND REQUIREMENTS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

• 1-2 years of experience in the following areas
• Developing and maintaining machine learning models in a business setting
• Designing and analyzing statistical tests
• Python, SQL, and other languages appropriate for large scale analysis of numerical and textual data
• Experience in developing or applying knowledge of model interpretability, natural language processing, or large language models, is a plus
• Strong verbal and written communication skills with an ability to communicate complex concepts in simple terms & an ability to tie analytic results to business outcomes
• Strong results focus, project management, & teamwork
• Degree in Statistics, Data Science, or a related field

Work Location and Arrangement : This role will be based out of the either the Richmond, VA Home Office, the Dallas, TX Technology Hub or the Atlanta, GA CarMax Auto Finance Office and has a Hybrid work arrangement in office 2 days a week.
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

• Leverage CarMax’s machine learning cloud environment to design, develop, & operationalize algorithms (e.g. statistical models, machine learning, artificial intelligence) that will directly impact critical areas of the CarMax business, including the customer experience
• Assess performance of production models and identify & act on opportunities for improvement
• Partner with teams across CarMax to explore new use cases for algorithms and bring new customer experiences to life
• Design tests and develop strategies to collect data needed to improve algorithm performance and produce iconic data-driven experiences for CarMax customers