Manager, Data Science - Pricing Algorithms

Carmax

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VA
Salary
$120,400–$192,600 / yr
Posted
19 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $156k
$107k most similar roles pay here $250k

This role pays less than 85% of similar roles. Most pay $165,500–$233,850 — the shaded band above. At the midpoint, this role pays about $156k versus about $200k 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 28 open roles on FindRole.

Listed pay typically runs $98,600–$150,850 across 28 roles with salary data.

Most-posted roles

View all roles at Carmax

At a glance

TL;DR · Manager, Data Science - Pricing Algorithms

Manager, Data Science - Pricing Algorithms joins the Pricing team to develop algorithms that accurately value vehicles based on unique characteristics, consumer demand, wholesale auction supply, and market conditions. The role involves developing and improving predictive models, performing feature engineering on complex datasets, and designing controlled experiments to assess business value. You will research innovations in modeling methodologies and data science tools while influencing the team's strategic roadmap. Success requires strong modeling skills, logical reasoning, and a solid foundation in math, computer science, and machine learning. The position involves managing projects, communicating technical insights to senior leaders, and explaining both standard and novel modeling methods. This role addresses the challenge of automating pricing decisions for inventory across numerous locations to ensure vehicles are priced correctly as the business shifts toward online sales with less human intervention.

What you'll do

  • Develop and improve predictive models to accurately value vehicles based on market conditions and consumer demand.
  • Analyze, validate, and perform feature engineering on large and complex pricing datasets.
  • Incorporate new data sources and insights into existing modeling frameworks.
  • Design controlled experiments to assess the business value of new models.
  • Present data-driven insights and recommendations to senior leadership to drive organizational change.
  • Research innovations in data science tools, methodologies, and data sources to improve team capabilities.
  • Communicate complex model mechanics clearly to both technical and non-technical team members.
  • Influence the development of the team's strategic modeling roadmap.

What we're looking for

  • Applicants must be currently authorized to work in the United States on a full-time basis.
  • Candidates must have at least 4 years of experience in strategy, analysis, data science, or a related field.
  • A four-year undergraduate degree with exceptional academic performance is required.
  • A Master's or Ph.D. in an analytical field is preferred.
  • Candidates must possess solid foundational math, computer science, and machine learning skills.
  • Strong modeling skills and logical reasoning are required to develop and validate predictive models.
  • Ability to manage projects independently and deliver results in a timely manner is required.
  • Experience building and maintaining strong working relationships and influencing team results is required.

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