Senior Data Scientist: Predictive Analytics Leader

CarMax; Richmond (VA); On-site; USD 106,000 - 159,000; Full time

Benefits offered by this job

Bonus potential

Equity

Job summary

CarMax is seeking a Senior Data Scientist in Richmond, VA, to shape the future of automotive retail through advanced analytics and innovative modeling. You’ll lead predictive modeling efforts, integrate diverse data sources, and drive business-wide decisions with data-driven insights.

The role requires strong statistical and ML skills, project leadership, and clear communication across technical and non-technical audiences. Competitive salary and equity may be offered.

Qualifications

• Strong expertise in predictive modeling and statistical analysis with a passion for continuous learning.
• Proven ability to solve complex problems using analytics and influence outcomes.
• Experience managing projects and delivering results on time.

Responsibilities

• Analyze large, complex datasets to develop, validate, and enhance predictive models using statistical and machine learning techniques.
• Incorporate new data sources (e.g., customer interest metrics, web clickstream, market pricing) to improve model accuracy and performance.
• Design and execute controlled experiments to measure the business impact of new models.
• Present actionable insights and recommendations to senior leadership to influence strategic decisions.
• Research emerging methodologies and best practices to advance CarMax’s modeling capabilities.
• Shape the team’s strategic roadmap for data science innovation and communicate model functionality to technical and non-technical audiences.

Skills

Predictive modeling

Statistical analysis

Machine learning

Experiment design

Data visualization

Education

Quantitative degree

Tools

SQL

Python

Job description

CarMax is seeking a Senior Data Scientist in Richmond, VA, to shape the future of automotive retail through advanced analytics and innovative modeling. You’ll lead predictive modeling efforts, integrate diverse data sources, and drive business-wide decisions with data-driven insights.

The role requires strong statistical and ML skills, project leadership, and clear communication across technical and non-technical audiences. Competitive salary and equity may be offered.