Senior Manager, Data Science

CarMax; United States; On-site; USD 139,000 - 222,000; Full time

Benefits offered by this job

Bonus potential

Equity eligibility

Comprehensive benefits

Job summary

CarMax in Richmond, VA is seeking a Technical Leader to drive predictive Customer Progression models, apply advanced data science across the lifecycle, and analyze large-scale datasets to generate actionable insights. You will collaborate with Product, Operations, Strategy and Data Engineering to identify new data-driven use cases and to build scalable analytics infrastructure.

You will mentor a high-performing data science team, promote best practices in analytics and experimentation, and

Qualifications

• Advanced degree in a quantitative field (Master’s or Ph.D.).
• 4+ years in Python, machine learning, data mining and large-scale analysis.
• Experience with data lakes, cloud platforms, and relational databases (SQL).
• Strong analytical mindset with demonstrated impact and strategic thinking.
• Excellent communication, able to explain complex concepts to varied audiences.
• Demonstrated project management and ability to handle competing priorities.
• Experience mentoring or developing team members.

Responsibilities

• Lead development and enhancement of predictive Customer Progression models.
• Apply advanced data science techniques across full model lifecycle: design, training, evaluation, deployment, monitoring.
• Analyze large-scale datasets to generate actionable insights.
• Build understanding of CarMax data ecosystems, including access, processing and monitoring.
• Design and support controlled experiments (A/B testing) to evaluate solutions.
• Partner with Product, Operations, Strategy and Data Engineering to identify new use cases.
• Communicate insights and opportunities to stakeholders at all levels.
• Lead, mentor and develop a high-performing data science team; promote analytics best practices.

Skills

Python

Machine learning

Data mining

SQL

Communication

Project management

Mentoring

NLP

Education

Master’s or Ph.D. in Statistics, Mathematics, Data Science, CS, or Engineering

Tools

Data Lakes

Cloud Platforms

Job description

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Technical Leadership & Execution

• Lead the development and enhancement of predictive Customer Progression models
• Apply advanced data science techniques across the full model lifecycle:
  • Design, training, evaluation, validation, deployment, and monitoring
• Analyze large-scale, complex datasets (customer, transactional, digital, and third-party data) to generate actionable insights
• Build deep understanding of CarMax data ecosystems, including data access, processing, and monitoring
• Design and support controlled experiments (A/B testing) to evaluate new solutions

Cross-Functional Collaboration

• Partner with Product, Operations, Strategy, and Data Engineering teams to:
  • Identify and develop new use cases for data-driven products
  • Deliver tools that enhance both the customer and associate experience
  • Build scalable data and modeling infrastructure
• Communicate insights, model outcomes, and opportunities clearly to stakeholders at all levels of the organization
• Influence business strategy through data-driven recommendations

Team Leadership & Development

• Lead, mentor, and develop a high-performing team of data scientists
• Promote best practices in analytics, modeling, and experimentation
• Manage and prioritize multiple projects in a fast-paced environment
• Foster both technical and professional growth within the team

Qualifications

Required

• Advanced degree (Master’s or Ph.D.) in a quantitative field such as:
  • Statistics, Mathematics, Data Science, Computer Science, or Engineering
• 4+ years of experience in:
  • Python or similar languages for large-scale data analysis
  • Machine learning, statistical modeling, and data mining techniques
  • Working with data lakes, cloud platforms, and relational databases (SQL)
• Strong analytical mindset with a proven track record of delivering insights and strategic impact
• Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences
• Demonstrated project management skills and ability to manage competing priorities
• Experience mentoring or developing team members

Preferred

• Hands-on experience developing and deploying NLP (Natural Language Processing) solutions, including:
  • Information retrieval and extraction
  • Sentiment analysis
  • Topic modeling
  • Classification and deep learning techniques

Work Location and Arrangement

This role will be based out of the CarMax Technology Innovation Center (Richmond, VA)andassociates 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:

$138,500.00 - $221,600.00

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.