Sr. Data Scientist, Pricing Algorithms - Remote within 100 miles of Office Location

CarMax; Richmond (VA); Remote; USD 80,000 - 120,000; Full time

Job summary

CarMax is seeking an Algorithms Expert to enhance predictive modeling efforts. Join a dynamic team that fosters innovation in data science, leveraging your analytical skills to improve decision-making for car pricing and allocation. The role requires expertise in model development and collaboration with cross-functional teams to drive impactful results.

Benefits

Flexible work location within 100 miles of sites

Commitment to diversity and training opportunities

Qualifications

• 2+ years of relevant work experience in data science or quantitative fields.
• Experience in developing and deploying predictive models.
• Strong foundational math and modeling skills.

Responsibilities

• Develop and improve existing predictive models using statistical and machine learning techniques.
• Interpret and validate large complex data sets for pricing.
• Present insights and recommendations to senior leadership.

Skills

Data cleaning and pre-processing

Statistical and probabilistic analysis

Python

SQL

Education

Bachelor’s degree in a quantitative discipline

Job description

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 and business analysts plays a critical role in unlocking the business value from these innovations.

As an algorithms expert, you will build and support predictive models. Through collaboration and partnership with analysts and systems experts, you will play a key role in ensuring the models are deployed effectively to support our business goals.

What You Will Do – Essential Responsibilities :

1) Develop new models and improve our existing models

• Interpret, 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
• 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

3) Effectively communicate how our models work to team members, both at a general level and a detailed level

Qualifications and Requirements :

If you’re energized by putting your math, logic, and analytical reasoning skills to the test to solve complex problems then we encourage you to apply to join our team. We frequently offer a variety of roles and recommend checking out all available Pricing positions to find the best fit for your abilities and interests.

For a candidate for this role, we’re looking for the following characteristics :

Target mindset : Curious, skeptical, creative, committed to learning and staying informed on the latest techniques in data science, with a strong attention to detail and commitment to sound reasoning

Required experience :

• Either a bachelor’s degree in a quantitative discipline OR equivalent experience and training through past employment
• At least 2 years relevant work experience (Advanced study in a quantitative field may substitute for work experience), including experience applying strong foundational math and / or modeling skills to solve complex problems

Ideal candidates would have experience with these behaviors :

• Extracting and sharing clear insights from modelling
• Project management, ideally including end-to-end experience with the machine learning deployment pipeline
• Relationship building and collaboration

Preferred skills, certifications, or knowledge areas :

• Expertise in selecting and applying various modeling techniques (supervised & unsupervised, classification & regression, etc.),
• Python / SQL programming
• Data cleaning and pre-processing
• Statistical and probabilistic analysis

Work Location and Arrangement : Work location is flexible if within 100 miles of the Richmond, VA Technology Innovation Center or Dallas Technology Hub or Atlanta, GA CarMax Auto Finance Office if approved by the Company.

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 thinkingaround the way cars are bought and soldhas helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Ouramazing 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 areone 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.