Manager Data Science, Pricing Algorithms - Hybrid at Carmax
Richmond, VA 23238, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Nov, 25

Salary

0.0

Posted On

12 Aug, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Strategy, Data Science, Analytics

Industry

Information Technology/IT

Description

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

QUALIFICATIONS AND REQUIREMENTS

To 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 skillsPassion for using analytics in problem solving
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2) SOLID FOUNDATIONAL MATH, COMPUTER SCIENCE, AND MACHINE LEARNING SKILLS

  • 4+ years experience in strategy, analysis, data science, or related fieldFour year undergraduate degree with exceptional academic performance (Masters or Ph.D. in an analytical field is a plus)
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Responsibilities

PURPOSE OF THE ROLE

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.

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