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Sr. Data Scientist | CES CarMax Enterprise Services, LLC

February 20, 2026

8901 – Corp Office West Crk – 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238CarMax, the way your career should be! Sr. Data Scientist, Pricing Algorithms About The Team The Pricing team is a community of analysts, data scientists, and systems experts with a variety of technical and strategic skillsets. We work together to continually improve CarMax’s ability 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 – all while remaining responsive to constantly changing consumer demand, wholesale auction supply, and other global/local market conditions. Our team tackles complex problems while striving to be a great representation of CarMax’s 4 core values: <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Do the Right Thing: We prioritize maintaining the culture of integrity which has set CarMax apart in the used car industry, and promote a respectful and inclusive environment at work</li> <li class=" leading-snug mb-2 pl-2">Put People First: We’re focused on nurturing associate development and on maintaining a healthy work culture, while also making sure our customers are offered a great experience</li> <li class=" leading-snug mb-2 pl-2">Win Together: Teamwork is essential to what we do; we regularly learn from each other and draw on each other’s expertise and perspectives</li> <li class=" leading-snug mb-2 pl-2">Go for Greatness: We continually improve our abilities and the products that we support, to build up CarMax’s position as an industry leader</li> </ul> About 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 and business analysts plays a critical role in unlocking the business value from these innovations. As an algorithms expert, you will build and support predictive models. Through collaboration and partnership with analysts and systems experts, you will play a key role in ensuring the models are deployed effectively to support our business goals. What You Will Do – Essential Responsibilities: <ol> <li class=" leading-snug mb-2 pl-2">Develop new models and improve our existing models</li> </ol> <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Interpret, validate, and apply feature engineering to large and complex pricing-related data sets</li> <li class=" leading-snug mb-2 pl-2">Find creative ways to incorporate new insights and data sources</li> <li class=" leading-snug mb-2 pl-2">Leverage statistical / machine learning techniques and sound reasoning to develop, validate, and improve predictive models</li> <li class=" leading-snug mb-2 pl-2">Design controlled experiments to assess the business value of new models</li> <li class=" leading-snug mb-2 pl-2">Present insights and recommendations to senior leaders to drive change</li> </ul> <ol start="2"> <li class=" leading-snug mb-2 pl-2">Help CarMax continue to develop its data expertise</li> </ol> <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Research innovations and best practices related to data sources, modeling methodologies, and data science tools</li> <li class=" leading-snug mb-2 pl-2">Influence the team in the development of our modeling capability strategic roadmap</li> </ul> <ol start="3"> <li class=" leading-snug mb-2 pl-2">Effectively communicate how our models work to team members, both at a general level and a detailed level</li> </ol> Qualifications and Requirements: If you’re energized by putting your math, logic, and analytical reasoning skills to the test to solve complex problems then we encourage you to apply to join our team. We frequently offer a variety of roles and recommend checking out all available Pricing positions to find the best fit for your abilities and interests. For a candidate for this role, we’re looking for the following characteristics: Target mindset: Curious, skeptical, creative, committed to learning and staying informed on the latest techniques in data science, with a strong attention to detail and commitment to sound reasoning Required experience: <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Either a bachelor’s degree in a quantitative discipline OR equivalent experience and training through past employment</li> <li class=" leading-snug mb-2 pl-2">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</li> </ul> Ideal candidates would have experience with these behaviors: <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Extracting and sharing clear insights from modelling</li> <li class=" leading-snug mb-2 pl-2">Project management, ideally including end-to-end experience with the machine learning deployment pipeline</li> <li class=" leading-snug mb-2 pl-2">Relationship building and collaboration</li> </ul> Preferred skills, certifications, or knowledge areas: <ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6"> <li class=" leading-snug mb-2 pl-2">Expertise in selecting and applying various modeling techniques (supervised & unsupervised, classification & regression, etc.),</li> <li class=" leading-snug mb-2 pl-2">Python/SQL programming</li> <li class=" leading-snug mb-2 pl-2">Data cleaning and pre-processing</li> <li class=" leading-snug mb-2 pl-2">Statistical and probabilistic analysis</li> </ul> Work Location and Arrangement: Work location is flexible if within 100 miles of the Richmond, VA Technology Innovation Center or Dallas Technology Hub or Atlanta, GA CarMax Auto Finance Office if approved by the Company. Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. 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.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

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4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

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5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...