Manager of Data Science, Personalization - Hybrid
CarMaxAbout the role
About this job
It’s an exciting time at CarMax! After decades of success and a rise to becoming the largest used car retailer in the US, CarMax is focused on disrupting the auto industry once again through our transformation to a leading omni-channel retailer. To achieve this goal, CarMax has spent the last few years investing heavily in modernizing our digital and analytical infrastructure to support our customer-centric experience as the customer shopping journey continues to evolve online. We’re stitching data science throughout our business to drive a great customer experience and optimize our operations.
As a Data Science Manager at CarMax, you’ll apply your passion and expertise for data, machine learning, predictive analytics, and entrepreneurship to create data-powered products that enrich CarMax’s culture of innovation and drive business results. You will be a leader in the analytic community – advancing the use of data science in high impact areas of our business.
With millions of customer interactions every day, and thousands of unique vehicles in inventory, you’ll be tapping the industry’s best data to develop new algorithms and personalized experiences that help customers efficiently find the right car and navigate their car buying journey.
In this role you will:
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.
Qualifications and Requirements
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
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
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