Director, Data Science

Carmax

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VA
Salary
$161,500–$258,400 / yr
Posted
86 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $210k
$148k most similar roles pay here $290k

This role pays less than 66% of similar roles. Most pay $191,887–$266,200 — the shaded band above. At the midpoint, this role pays about $210k versus about $229k for comparable roles.

Based on 240 similar postings.

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

Carmax currently has 29 open roles on FindRole.

Listed pay typically runs $102,100–$159,000 across 29 roles with salary data.

Most-posted roles

View all roles at Carmax

At a glance

TL;DR · Director, Data Science

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The Director, Data Science joins the Pricing team to develop and operationalize algorithms that accurately value vehicles based on customer preferences, wholesale auction supply, and market conditions. This leader manages a team of four to eight data scientists, fostering their growth while overseeing the development of sophisticated pricing models for retail, appraisal, and offsite buying. The role involves building artificial intelligence to autonomously price inventory, collaborating with cross-functional teams, and designing experiments to measure business impact. Key responsibilities include creating management systems to monitor model performance against real-time market shifts like gas price spikes. To succeed, the candidate must possess advanced skills in mathematics, statistics, machine learning, and Python. The position focuses on solving complex pricing problems for a non-commodity product by automating decisions across hundreds of thousands of vehicles annually.

Skills

Machine Learning Python Statistics Mathematics Data Science Algorithms Analytics Optimization

What you'll do

  • Develop and implement optimal pricing strategies for retail vehicles, appraisals, and offsite auction purchases.
  • Build and lead a team of 4-8 data scientists to execute pricing strategies across hundreds of thousands of vehicles.
  • Lead the development of sophisticated machine learning models to autonomously price every vehicle in an optimal way.
  • Collaborate with Product, Technology, and Field teams to implement new pricing models into the business infrastructure.
  • Design and conduct experiments to measure the business impact of various pricing changes.
  • Establish a management system to monitor model performance and respond quickly to shifting market conditions.
  • Communicate complex pricing strategies and goals to senior leadership across all levels of the organization.

What we're looking for

  • Applicants must be authorized to work in the United States on a full-time basis.
  • A four-year undergraduate degree with exceptional academic performance is required.
  • An advanced degree is preferred.
  • Candidates must have at least 7 years of experience in strategy, analytics, and/or data science.
  • Proven ability to solve complex business problems by leveraging deep analytical skills is required.
  • Experience managing highly analytical projects and people is required.
  • Experience working effectively with senior management and a record of success selling new ideas is required.
  • Proficiency in mathematics, statistics, and technology (machine learning, Python) is required.

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