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CarMax · 1 day ago

Manager of Data Science, Personalization

Kennesaw, GA

Full-time

Hybrid

Mid, Senior Level

3+ years exp

CarMax is the largest used car retailer in the US, currently focused on transforming the auto industry through a leading omni-channel retail experience. As a Data Science Manager, you will leverage data science, machine learning, and predictive analytics to develop innovative data-driven products that enhance customer experiences and optimize operations across the business.

AutomotiveMarketplaceOnline Portals

No H1B

Hiring Manager

Misty Snead

Responsibilities

Collaborate with Product teams across CarMax to explore new use cases for our Production-grade Recommendations Service, expanding across digital and physical customer touchpoints

Lead the end-to-end experimentation lifecycle for Personalization initiatives, from hypothesis generation through A/B test design, analysis, and deployment. You will partner with Product and Strategy teams to identify and prioritize testing opportunities to drive key business metrics like vehicle reservation leads and sales conversion

Evolve architectural solutions that reflect the unique challenges at CarMax: the length of our customers’ consideration phase, the complexity of an omnichannel journey, and the need to balance customer discovery with inventory constraints

Drive technical innovation and maintain industry awareness of best-in-class recommender systems, personalization techniques, and use of emerging AI. Research and implement relevant approaches – including contextual bandits, two-tower architecture, and next-generation personalization paradigms like LLM integration – to continuously advance CarMax’s capabilities and ensure we leverage state-of-the-art approaches that deliver business value

Qualification

Data ScienceMachine LearningStatistical ModelingRecommender SystemsPythonRData LakeCloud ComputingA/B TestingAnalytical ThinkingProject ManagementCommunication SkillsMentoring

Required

Advanced Degree (Master's/Ph.D.) in quantitative discipline (Statistics, Math, Data Science, Engineering) is preferred

3+ years of experience in the following areas:

R, Python, Scala, or other languages appropriate for large scale analysis of numerical and textual data

Data mining, machine learning, statistical modeling tools and underlying algorithms

Data Lake and cloud computing fundamentals

Strong analytical curiosity and passion for applying advanced modeling techniques in problem solving

Sound analytical thinker with a proven track record of providing actionable insights and clear strategic direction

Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization

Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment

Ability to train and mentor others

Experience in Recommender Systems, Search Algorithms, or operationalizing performant algorithms for website integration is a plus

Preferred

Experience building and scaling production recommendation systems in retail, e-commerce or marketplace environments

Hands-on expertise with modern recommender architectures including embedding models, retrieval systems, and rerankers

Deep understanding of MLOps practices

Experience with large-scale A/B test design and analysis

Experience with real-time or near-real-time inference systems and managing latency/throughput tradeoffs at scale

Familiarity with complex products requiring nuanced personalization (automotive, real estate, high-consideration purchases) or multi-sided marketplace dynamics

Track record of driving measurable business impact through personalization and experimentation