Senior Manager, Data Science
About The Position
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
Requirements
- 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
- 4+ years of experience in: Machine learning, statistical modeling, and data mining techniques
- 4+ years of experience in: 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
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
Benefits
- Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
