Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist, Customer Conversion
Reads like a ML Engineer role: putting models into production.
Corporate - Richmond
Open 5 months, first seen by us 173 days ago- Pay
Pay amount needs review — pay source
The annual salary for this position is: $106,000.00 - $159,000.00May be eligible for bonus and equity. Benefits:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis
What you’ll work on
Full postingAt the heart of this role is a deep curiosity about how AI and ML can meaningfully improve both customer and associate experiences and CarMax's operational effectiveness.
· Leverage CarMax’s machine learning cloud environment to design & develop algorithms (e.g.
Design and develop ML and statistical models for the customer experience
Partner with software engineers to deploy and maintain algorithms
Assess performance of production models and improve them
Design tests and collect data to improve algorithm performance
Explore new algorithm use cases with teams across CarMax
From the employer’s posting
At the heart of this role is a deep curiosity about how AI and ML can meaningfully improve both customer and associate experiences and CarMax's operational effectiveness. You'll develop and maintain ML models and analytical frameworks that directly influence how customers interact with CarMax — whether through AI-assisted support, intelligent routing, or personalized digital experiences. You'll serve as a subject matter expert on model evaluation, experimental design, and advanced analytics, helping the team and our Product partners make better, faster, evidence-based decisions. If you're energized by applying ML to real business problems and thrive at the intersection of data science and product partnership, this role is for you.
· Leverage CarMax’s machine learning cloud environment to design & develop algorithms (e.g. statistical models, machine learning, artificial intelligence) that will directly impact critical areas of the CarMax business, including the customer experience
design & develop algorithms (e.g. statistical models, machine learning, artificial intelligence) that will directly impact critical areas of the CarMax business, including the customer experience
Partner with software engineers to deploy and maintain algorithms
Assess performance of production models and identify & act on opportunities for improvement
Design tests and develop strategies to collect data needed to improve algorithm performance
Partner with teams across CarMax to explore new use cases for algorithms
Posting record
Report an errorOpen 5 monthsWe first saw this posting 173 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 16, 2026173 days ago
- Recorded sightings
- 285
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 173
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Carmax’s usual: its jobs come down by about day 52.
From 4,442 similar postings that came down, and 23 of Carmax’s. Coming down is not always a hire.
Carmax is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 13% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
o Designing and analyzing statistical tests o 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
Your next step
Complete your application on carmax.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About Carmax
- People
- About 29,514 in 2025.Benefit plan filings (Form 5500)
- Company
- Listed as KMX.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% 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.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220
CarMax, the way your career should be!
About this job
Over twenty years ago, CarMax disrupted the automotive industry and to this day remains the undisputed market leader in a $500B+ industry. With best-in-class financial performance, customer satisfaction, and associate engagement, CarMax is well positioned for continued growth. With this growth, we strive to maintain our analytics-based competitive advantage through our algorithm driven pricing and inventory systems. To do so, we’re currently looking for experienced analysts who are looking to apply their passion for strategic thinking to drive business-critical decisions.
About The Team
The Customer Conversion Data Science team builds and maintains ML and AI solutions that help CarMax customers navigate and complete their buying journey — efficiently, effectively, and with the best possible experience. Our algorithms are backed by best-in-industry data collected from millions of vehicles purchased and sold by CarMax and millions of consumers as they shopped. These algorithms power intelligent customer communications, AI-driven support experiences, and smarter operational strategies across our customer experience centers and stores. We partner directly with Product and Operations teams to design, evaluate, and deploy responsible, well-managed ML & AI capabilities that create measurable business impact.
About The Role
At the heart of this role is a deep curiosity about how AI and ML can meaningfully improve both customer and associate experiences and CarMax's operational effectiveness. You'll develop and maintain ML models and analytical frameworks that directly influence how customers interact with CarMax — whether through AI-assisted support, intelligent routing, or personalized digital experiences. You'll serve as a subject matter expert on model evaluation, experimental design, and advanced analytics, helping the team and our Product partners make better, faster, evidence-based decisions. If you're energized by applying ML to real business problems and thrive at the intersection of data science and product partnership, this role is for you.
What you will do – Essential Responsibilities
· Leverage CarMax’s machine learning cloud environment to design & develop algorithms (e.g. statistical models, machine learning, artificial intelligence) that will directly impact critical areas of the CarMax business, including the customer experience
· Partner with software engineers to deploy and maintain algorithms
· 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
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
o Developing and maintaining ML/AI models in a business setting
o Evaluating and assessing model performance (of traditional ML algos and/or AI systems)
o Designing and analyzing statistical tests
o 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 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.
The annual salary for this position is:
$106,000.00 - $159,000.00May 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:
- To earn up to 48 hours of sick time per year accrued on a per pay period basis and between 80 hours and 200 hours per year of vacation time after a 90 day waiting period depending on years of continuous service with the Company.
- For 8 hours of pay for each of a total of 6 paid scheduled holidays per year plus 1 floating holiday. If such an Associate does work on a scheduled holiday due to business need, they are eligible for Holiday Premium Pay.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The annual salary for this position is: $106,000.00 - $159,000.00May be eligible for bonus and equity. Benefits:
- Location & working pattern
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 authorization
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. The annual salary for this position is: