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Employer
About Carmax
CarMax is the largest used car retailer in the United States, offering a customer-friendly, no-haggle buying experience with a broad selection of quality used vehicles, financing, and vehicle protection plans. Industry: Automotive Retail
As a Senior Analyst, Search and Recommendations, you will join the Personalization data science team to build and maintain search algorithms and recommender systems for digital shopping experiences. You will analyze large-scale behavioral data, including search queries, click-through rates, and purchase patterns to uncover customer preferences and system performance. Your daily work involves designing and executing rigorous statistical tests like A/B testing and holdout experiments to measure the impact of algorithm changes. You will collaborate with data scientists and engineers to support model development, validation, and monitoring while translating complex findings into narratives for stakeholders. To succeed, you must utilize SQL and Python, including pandas and matplotlib, and have experience with Spark or Databricks. You will also develop dashboards in BI tools like Tableau, PowerBI, or Looker within the used vehicle market.
SQL
Python
Machine Learning
Data Mining
Data Visualization
Statistical Modeling
Data Infrastructure
AI-assisted workflows
Risk Management
Scripting Languages