Manager Data Science, Pricing Algorithms - Hybrid

CarMax; Richmond (VA); Hybrid; USD 106,000 - 181,000; Full time

Job summary

An innovative company is seeking a Manager of Data Science to enhance pricing algorithms. This role is pivotal in developing models that guide car pricing and inventory decisions across a vast network of stores. The ideal candidate will leverage their analytical skills and machine learning expertise to drive impactful changes in a dynamic environment. Collaborating with a talented team, you will influence strategic decisions and help shape the future of automotive retail. If you are passionate about using data to solve complex problems and thrive in a hybrid work setting, this opportunity is perfect for you.

Qualifications

• 4+ years in strategy, analysis, data science, or related field.
• Ability to influence team results and manage projects.

Responsibilities

• Develop and improve pricing models using data science techniques.
• Analyze complex pricing-related datasets for insights.

Skills

Modeling Skills

Logical Reasoning

Analytics

Machine Learning

Data Analysis

Education

Bachelor's Degree

Master's Degree or Ph.D. in Analytical Field

Job description

Manager Data Science, Pricing Algorithms - Hybrid

Join to apply for the Manager Data Science, Pricing Algorithms - Hybrid role at CarMax

Manager Data Science, Pricing Algorithms - Hybrid

3 days ago Be among the first 25 applicants

Join to apply for the Manager Data Science, Pricing Algorithms - Hybrid role at CarMax

Get AI-powered advice on this job and more exclusive features.

8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238

CarMax, the way your career should be!

The primary responsibility for the Pricing team is to accurately and systematically value each individual car that we buy and sell. Last year, CarMax sold over 1 million vehicles and appraised over 2 million vehicles, and Pricing directed over $20B in spend to purchase inventory. To properly value these vehicles, our data scientists must develop algorithms that best reflect customer preferences for each vehicle’s unique characteristics and that effectively respond to constantly changing consumer demand, wholesale auction supply, and other global/local market conditions.

What You Will Do – Essential Responsibilities

• Develop new models and improve our existing models
• Analyze, validate, and apply feature engineering to large and complex pricing-related data sets
• Find creative ways to incorporate new insights and data sources
• Leverage statistical / machine learning techniques and sound reasoning to develop, validate, and improve predictive models
• Design controlled experiments to assess the business value of new models
• Present insights and recommendations to senior leaders to drive change
• Help CarMax continue to develop its data expertise
• Research innovations and best practices related to data sources, modeling methodologies, and data science tools
• Influence the team in the development of our modeling capability strategic roadmap
• Effectively communicate how our models work to team members, both at a general level and a detailed level
  
  

Purpose of the Role

CarMax relies on algorithms to make important decisions about which cars to buy, how to price them, and how to allocate them across our 200+ stores. Doing so ensures that we have the right cars at the right prices to meet our customers’ needs. As we continue to innovate our business and shift more of our buying and selling online, we increasingly need to make these decisions quickly with less human intervention. Our team of data scientists plays a critical role in unlocking the business value from these innovations.

Qualifications And Requirements

To be successful for this role, a candidate must demonstrate the ability to consistently deliver at a high level on the responsibilities listed above. A few of the competencies that will position you for success are:

• Strong modeling skills and a desire to continue to grow those skills
• Exceptional logical reasoning skills
• Passion for using analytics in problem solving
• Solid foundational math, computer science, and machine learning skills
• 4+ years experience in strategy, analysis, data science, or related field
• Four year undergraduate degree with exceptional academic performance (Masters or Ph.D. in an analytical field is a plus)
• Ability to influence the team’s results
• Experience managing your own projects and delivering timely results
• Record of building and maintaining strong working relationships
• Ability to explain standard or novel modeling methods
• Desire to develop into an effective technical leader and/or people manager
  
  

Work Location and Arrangement: This role will be based out of the either the Richmond, VA Home Office, the Dallas, TX Technology Hub or the Atlanta, GA CarMax Auto Finance Office and has a Hybrid work arrangement in office 2 days a week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Retail, Motor Vehicle Manufacturing, and IT Services and IT Consulting

Referrals increase your chances of interviewing at CarMax by 2x

Get notified about new Data Science Manager jobs in Richmond, VA.

Laboratory Operations Manager - Eurofins Built Environment Analytics - Richmond (Ashland), VA

Richmond, VA $106,352.00-$180,798.00 3 days ago

Senior Manager, Business Data Analysis and Processing

Analytics Manager, Direct to Consumer Marketplace

Physical AI Engineering & Strategy - Senior Manager - Consulting - Open Location

Data Analysis Manager - Card Terms Analytics

Senior Business Manager, Field Sales Analytics

Manager, Data Analytics - Finance, Retail Bank

Manager, Information Security Office Consultant (Machine Learning and AI Foundations)

Manager-Internal Audit Analytics (Hybrid - Richmond, VA)

General Manager/Business Unit Manager & National Practice Leader - Eurofins Analytics- Richmond, VA

Manager-Finance Risk Analytics (HYBRID--Richmond, VA)

Senior Business Manager - People Strategy & Analytics

Business Manager - People Strategy & Analytics

Finance Business Analytics & Reporting Manager

Senior Manager - Business Tax Services- Passthrough Transactions Group- Analytics

Senior Manager, Data Science - Credit Model Review

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.