Senior Data Scientist, Pricing Algorithms

Carmax

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Richmond, VA
Salary
$106,000–$159,000 / yr
Posted
19 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k
This role $132k
$92k most similar roles pay here $239k

This role pays less than 73% of similar roles. Most pay $129,775–$214,500 — the shaded band above. At the midpoint, this role pays about $132k versus about $172k 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 · Senior Data Scientist, Pricing Algorithms

As a Sr. Data Scientist - Pricing Algorithms, you will join the Pricing team to develop and support predictive models that automate vehicle valuation and inventory pricing decisions. You will be responsible for building new models, improving existing ones, performing feature engineering on complex datasets, and designing controlled experiments to assess business value. The role involves researching modeling methodologies, managing machine learning deployment pipelines, and communicating technical insights to senior leadership. To succeed, you must possess strong foundational math skills, experience in supervised and unsupervised learning, classification, and regression techniques. You will utilize Python and SQL for data cleaning and preprocessing while performing statistical and probabilistic analysis. This position addresses the challenge of accurately valuing vehicles and managing inventory across hundreds of locations amidst fluctuating market conditions by reducing human intervention through advanced algorithmic solutions.

What does a Data Scientist earn in Virginia?

Median $145200 from 77 postings across 6 companies.

See salary data

What you'll do

  • Develop new predictive models and improve existing ones using machine learning techniques.
  • Interpret, validate, and apply feature engineering to large and complex pricing datasets.
  • Design controlled experiments to assess the business value of new models.
  • Research innovations in data sources, modeling methodologies, and data science tools.
  • Influence the team's strategic roadmap for developing modeling capabilities.
  • Communicate model mechanics and technical insights to both general and technical audiences.
  • Present findings and recommendations to senior leaders to drive organizational change.

What we're looking for

  • Applicants must be authorized to work in the United States on a full-time basis.
  • A bachelor's degree in a quantitative discipline or equivalent experience and training is required.
  • At least 2 years of relevant work experience is required, which may be substituted by advanced study in a quantitative field.
  • Candidates must possess strong foundational math and modeling skills to solve complex problems.
  • Experience extracting and sharing clear insights from modeling (preferred).
  • Project management experience, ideally including the end-to-end machine learning deployment pipeline (preferred).
  • Relationship building and collaboration skills are desired (preferred).
  • Expertise in various modeling techniques, Python/SQL programming, data cleaning, and statistical analysis is preferred.

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