CarMax · 1 month ago
Sr. Manager, Data Science – Pricing Algorithms
CarMax is the nation’s largest retailer of used cars, and they are seeking a Sr. Manager for their Data Science team focused on Pricing Algorithms. The role involves developing optimal pricing strategies, leading a team of data scientists, and building artificial intelligence models to enhance vehicle pricing efficiency.
AutomotiveMarketplaceOnline Portals
Responsibilities
Develop optimal pricing strategies that meet both short and long term business objectives
Leverage exceptional business knowledge, creativity, vision and analytic skills in order to lead the development of optimal pricing strategies
Develop right optimization strategy given CarMax’s unique business model of selling a non-commodity product at a no-haggle price
Leverage strong analytic communication skills to gain broad buy-in to pricing strategies and goals at all levels of the organization
Continuously improve our pricing strategy by delivering $10-25MM/yr of incremental value
Build a highly engaged team of 4-7 Data Scientists with the skills to implement our pricing strategies across hundreds of thousands of vehicles each year
Create a rewarding and challenging environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists
Leverage strong functional expertise in a quickly evolving field to ensure that team members have the right technology to meet today’s business needs
Set specific, actionable short and mid-term goals for each team member
Challenge, develop & recognize team members when they achieve their goals
Lead the building of Artificial Intelligence to autonomously price every vehicle in an optimal way
Leverage strong mathematics, statistics and technology skills (machine learning, Python, etc.) in order to lead the development of sophisticated pricing models that autonomously implement our strategies
Leverage strong computer science and software engineering skills in order to build software that (a) Calculates the optimal value for each vehicle and (b) Delivers that value to field associates in seconds
Lead cross functional efforts to implement new models with IT and the field
Apply exceptional experiment test and design skills in order to measure the business impact of different pricing changes
Develop and execute a management system that ensures the right value is put on every vehicle every day
Ensure that the model is tuned to current market conditions by identifying times when immediate strategy changes are needed (ex: gas prices spiking)
Build and execute a management system to ensure that the model is delivering intended values (alert system, regular review meetings…)
Quickly respond to and resolve pricing system issues regardless of time of day/week
Qualification
Required
Undergraduate degree with exceptional academic performance in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering). Advanced Degree (Master's/Ph.D.) is a plus
Mathematical, modeling, and reasoning skills in order to build complex pricing models
4+ years experience in strategy, analytics and/or data science
Proven ability to deliver business value by leveraging deep analytic skills in order to solve complex business problems
Computer programming skills in order to turn the mathematical model into Artificial Intelligence
Leadership skills necessary to build a highly engaged team and to work cross functionally to implement new pricing strategies
Exceptional verbal, written, and listening skills necessary to (a) effectively manage their team, (b) listen and understand conflicting points of view on complex matters, (c) navigate through potential contentious situations that periodically occur in a change process, and (d) communicate complex ideas
Experience managing highly analytical projects and people
Company
CarMax
CarMax provides an online platform for searching new and used cars, researching models, and comparing vehicles.
Funding
Current Stage
Public CompanyTotal Funding
$98.19M2021-06-08Post Ipo Equity· $98.19M
1997-01-05IPO
Leadership Team
Recent News
2026-01-07
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