Senior Data Scientist, Customer Conversion

Reposted 11 Days Ago
Richmond, VA, USA
In-Office
106K-159K Annually
Junior
Automotive • Retail
The Role
The Senior Data Scientist will develop and maintain ML models and analytical frameworks to enhance customer experiences at CarMax, collaborating with Product and Operations teams to drive business-critical decisions and improve operational effectiveness.
Summary Generated by Built In
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 - $159,000.00

May 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.

Skills Required

  • 1-2 years of experience developing and maintaining ML/AI models in a business setting
  • 1-2 years of experience evaluating and assessing model performance
  • 1-2 years of experience designing and analyzing statistical tests
  • Proficiency in Python, SQL, and related languages
  • Degree in Statistics, Data Science, or related field

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Richmond, VA
25,000 Employees
Year Founded: 1993

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.

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