Senior Manager, Data Science

CarMax Business Services; Richmond (VA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

CarMax Business Services is seeking a Technical Leader in Richmond, VA, to lead the development of predictive Customer Progression models and enhance data-driven products. In this role, you will analyze large datasets and collaborate with cross-functional teams.

You will also be responsible for mentoring a high-performing team of data scientists, requiring an advanced degree in a quantitative field and 4+ years of relevant experience. The position offers a dynamic work environment focused on innovation.

Qualifications

• 4+ years of experience in Python or similar for data analysis.
• Proficiency in machine learning, statistical modeling, and data mining techniques.
• Experience with cloud platforms and relational databases (SQL).
• Demonstrated project management skills.

Responsibilities

• Lead the development of predictive Customer Progression models.
• Analyze complex datasets to generate actionable insights.
• Partner with cross-functional teams to enhance data-driven products.
• Lead and mentor a team of data scientists.

Skills

Advanced data analysis in Python

Machine learning and statistical modeling

Data lakes and SQL

Strong analytical mindset

Excellent communication skills

Project management

Mentoring skills

Education

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

Job description

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

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) 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.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application