The primary responsibility for the Pricing team is to accurately and systematically value each individual car that we buy and sell. Last year, CarMax sold over 1 million vehicles and appraised over 2 million vehicles, and Pricing directed over $20B in spend to purchase inventory. To properly value these vehicles, our data scientists must develop algorithms that best reflect customer preferences for each vehicle’s unique characteristics and that effectively respond to constantly changing consumer demand, wholesale auction supply, and other global/local market conditions.
What You Will Do – Essential Responsibilities1) Develop new models and improve our 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
- 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
CarMax relies on algorithms to make important decisions about which cars to buy, how to price them, and how to allocate them across our 200+ stores. Doing so ensures that we have the right cars at the right prices to meet our customers’ needs. As we continue to innovate our business and shift more of our buying and selling online, we increasingly need to make these decisions quickly with less human intervention. Our team of data scientists plays a critical role in unlocking the business value from these innovations.
Qualifications and RequirementsTo be successful for this role, a candidate must demonstrate the ability to consistently deliver at a high level on the responsibilities listed above. A few of the competencies that will position you for success are:
1) Strong modeling skills and a desire to continue to grow those skills- Exceptional logical reasoning skills
- Passion for using analytics in problem solving
- 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)
- 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
Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 5 days per 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
About CarMax
CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.
Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.
CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
Skills Required
- 4+ years experience in strategy, analysis, data science, or related field
- Four-year undergraduate degree
- Master's or Ph.D. in an analytical field
- Solid foundational math, computer science, and machine learning skills
- Strong modeling skills, logical reasoning, and passion for analytics
- Experience managing projects and delivering timely results
- Ability to explain standard or novel modeling methods
- Experience designing and analyzing controlled experiments
- Work onsite 5 days per week in Richmond, VA
- Authorized to work in the United States without sponsorship (sponsorship not considered)
- Desire to develop into an effective technical leader and/or people manager
CarMax Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CarMax and has not been reviewed or approved by CarMax.
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Retirement Support — Retirement benefits appear robust, including a 401(k) with dollar-for-dollar matching up to the first 6% of base salary and immediate vesting. Stock purchase programs with a discount or match are positioned as an additional long-term wealth-building option.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, disability, and life insurance, with access beginning relatively early for eligible associates. Mental health resources and wellbeing programs are also present as part of the health offering.
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Leave & Time Off Breadth — Time-off offerings are described as broad, including vacation, holidays, sick time, and paid leave related to new child placement or birth/adoption in addition to family medical leave options. The structure varies by role and tenure, but the overall menu is sizable.
CarMax Insights
What We Do
CarMax revolutionized the auto industry by delivering the honest, transparent and high-integrity car buying experience customers want and deserve. This disruptive thinking has helped us become the nation’s largest retailer of used cars with more than 200 stores nationwide. And thanks to our amazing team of nearly 25,000 associates, we have been recognized as one of the FORTUNE 100 Best Companies to Work For® - 16 years in a row! Committed to hiring people with strong values of integrity, transparency and respect, we offer unmatched training and support for associate career growth, and have been recognized as one of Training Magazine’s "Training Top 125" companies in America. We are also proud to be a best place to work for Veterans, and the #2 Best Workplace for Retail.
