Over twenty years ago, CarMax disrupted the automotive industry and to this day remains the undisputed market leader in a $500B+ industry. With best-in-class financial performance, customer satisfaction, and associate engagement, CarMax is well positioned for continued growth. With this growth, we strive to maintain our analytics-based competitive advantage through our algorithm driven pricing and inventory systems. To do so, we’re currently looking for experienced analysts who are looking to apply their passion for strategic thinking to drive business-critical decisions. About The Team The Customer Conversion Data Science team builds and maintains ML and AI solutions that help CarMax customers navigate and complete their buying journey — efficiently, effectively, and with the best possible experience. Our algorithms are backed by best-in-industry data collected from millions of vehicles purchased and sold by CarMax and millions of consumers as they shopped. These algorithms power intelligent customer communications, AI-driven support experiences, and smarter operational strategies across our customer experience centers and stores. We partner directly with Product and Operations teams to design, evaluate, and deploy responsible, well-managed ML & AI capabilities that create measurable business impact. About The Role At the heart of this role is a deep curiosity about how AI and ML can meaningfully improve both customer and associate experiences and CarMax's operational effectiveness. You'll develop and maintain ML models and analytical frameworks that directly influence how customers interact with CarMax — whether through AI-assisted support, intelligent routing, or personalized digital experiences. You'll serve as a subject matter expert on model evaluation, experimental design, and advanced analytics, helping the team and our Product partners make better, faster, evidence-based decisions. If you're energized by applying ML to real business problems and thrive at the intersection of data science and product partnership, this role is for you.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees