Senior Strategy Analyst – Pricing and Inventory Models

We always knew there had to be a better way to buy used cars. One that would make the process easy and fun. So we created CarMax, and we've been changing the way America buys cars since we opened our first store in Richmond, Virginia in 1993.

CarMax is looking for experienced analytical modelers and data scientists who are looking to enhance their technical skills, extend an analytics-based competitive advantage and influence business strategy at a fast growing FORTUNE&reg: 500 company. With a high-caliber team focused on the company’s industry-leading analytics capabilities and a great work/life balance, our Strategy Group offers plenty of room for you to learn and grow.

* Analyze vast amounts of complex pricing-related data, applying statistical methods to identify data integrity issues and to develop/validate predictive models * Collaborate with other vehicle pricing and statistical modeling experts to identify potential opportunities to improve model performance * Research innovations and pricing best practices related to data sources and modelling methodologies * Benchmark model methodologies and performance by developing alternative models and designing, deploying and monitoring controlled experiments * Leverage insights to influence Senior Management and drive business value

* 2+ years of experience in data science, statistical modeling, strategic analysis, or related field * Passion for using analytics in problem solving * Demonstrated ability to explain novel and standard modeling methods, both to fellow analysts and other colleagues * Experience developing and supporting models deployed within critical business processes * Ability to influence business partners through sound logic and analysis * Record of building and maintaining strong working relationships * Undergraduate degree in a quantitative discipline (math, statistics, operations research, economics, physics, engineering, etc.) * History of achievement indicated by work experience/accomplishments, top GPA and/or other recognition such as scholarships, awards, honor societies, etc. * Experience using SQL and Python to analyze big data sets a plus * Graduate degree in statistics, data science or related field a plus