Senior Analyst, Search and Recommendations

8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238

CarMax, the way your career should be!

About The Team

The Personalization data science team builds and maintains search algorithms and recommender systems that are at the forefront of creating a modern, engaging, digital shopping experience for our customers. We see millions of customers every week across web and mobile. We deploy custom deep learning embedding models, ranking and segmentation algorithms, and are constantly testing new approaches. Our systems are used in dozens of product use cases across the retail and wholesale businesses, which means we partner with many diverse teams throughout the organization.

About The Role

Understanding our business - the used vehicle market, our customers, and our digital products - is at the heart of what we do on this team. Our data is massive, rich, and often challenging to work with. In this role you will develop deep expertise about our business through data: via ad-hoc analysis, supporting ML model development and management, and especially through the design and execution of rigorous statistical tests that help us understand what's actually working and what’s not. You'll be embedded with data scientists and ML engineers, which means you'll see how models are built, not just how they perform. You'll help shape what we test, how we measure success, and what we learn. If you love data, get excited about the mechanics of search and recommendations, and want to see your analysis directly influence product decisions, this role is for you.

What You Will Do – Essential Responsibilities

Analyze large-scale behavioral data (search queries, click-through rates, purchase patterns, inventory turnover) to surface insights about customer preferences and system performance

Design, execute, and interpret statistical tests (A/B tests, holdout experiments, pre/post analyses) to measure the impact of algorithm changes and new features

Partner with data scientists on model development, validation, and ongoing monitoring - acting as a bridge between model performance metrics and business outcomes

Translate complex findings into clear narratives for technical and non-technical stakeholders alike

Develop and maintain dashboards and reporting that help the team and partners track key metrics over time

Partner closely with cross functional teams in Product, Strategy, Technology, and Operations

Qualifications and Requirements

3+ years of experience in an analytical role, preferably in e-commerce, marketplace, or another data-rich environment

Strong SQL skills and experience with Python (e.g. pandas, matplotlib) for data manipulation and analysis

Solid foundation in statistics, including hypothesis testing, confidence intervals, and experimental design - you should be comfortable explaining why a test result is or isn't significant

Experience working with large datasets using tools like Spark, Databricks, or similar is preferred

Ability to build and maintain reports in BI tools (Tableau, PowerBI, Looker, etc.), or interest in learning

Clear communication skills - you can explain a complex analysis to a product manager or executive without losing them

Genuine enthusiasm for how search and recommendation systems work, even if you haven't built them yourself

Bachelor's degree in a quantitative field (statistics, economics, math, engineering, or similar)

Work Location and Arrangement

This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 4 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.