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
QualificationsRequired- 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
