Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Corporate - Richmond
Open 5 months, first seen by us 174 days agoThe annual salary for this position is: $120,400.00 - $192,600.00May be eligible for bonus and equity. Benefits:Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Applicants must be currently authorized to work in the United States on a full-time basis
Develop new pricing models and improve existing ones
Apply feature engineering to large, complex pricing data sets
Design controlled experiments to measure the business value of new models
Present insights and recommendations to senior leaders
Shape the team's modeling capability strategic roadmap
Develop new models and improve our existing models
Analyze, validate, and apply feature engineering to large and complex pricing-related data sets
Design controlled experiments to assess the business value of new models
Present insights and recommendations to senior leaders to drive change
Influence the team in the development of our modeling capability strategic roadmap
Four year undergraduate degree with exceptional academic performance
Solid foundational math, computer science, and machine learning skills
Experience managing your own projects and delivering timely results
Applicants must be currently authorized to work in the United States on a full-time basis.
- 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) 3) Ability to influence the team’s results
Along the way, we help every associate grow their career and achieve their best, at work and in their community.
In the employer’s words · Read in context
Open 5 monthsWe first saw this posting 174 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 174
Up longer than most. Similar jobs usually come down between day 7 and day 56.
Well past Carmax’s usual: its jobs come down by about day 52.
From 10,297 similar postings that came down, and 24 of Carmax’s. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume to compare the role’s scope, tools and requirements with your experience.
Complete your application on carmax.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Manager, Data Science - Pricing Algorithms job there since October 2026. It came down after 1 day.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
What You Will Do – Essential ResponsibilitiesCarMax 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:
Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 4 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.
The annual salary for this position is:
$120,400.00 - $192,600.00May be eligible for bonus and equity.
Benefits:
Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time.
Associates that are considered full-time hourly or commission/incentive eligible:
Associates considered full-time salaried are entitled to paid time away with no specified limit as needed for sick, vacation, bereavement, jury duty, holidays, floating holiday, etc. subject to manager approval.
For more details about benefits, please visit our CarMax Benefits website.
Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
The annual salary for this position is: $120,400.00 - $192,600.00May be eligible for bonus and equity. Benefits:
Corporate - Richmond
Benefits: Except as otherwise required by state law, CarMax Associates are entitled to the following paid sick, vacation, and holiday time. Associates that are considered full-time hourly or commission/incentive eligible:
Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 4 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