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