Sr. Manager, Data Science - Remote within 100 miles of Office Location

Key Skills

Algorithms, Cloud computing, Data Lake, Data science techniques, Machine learning techniques, Python Programming, RDBMS, SQL, Statistical modeling

Job Description

About this Job:

It’s an exciting time at CarMax! After decades of success and a rise to becoming the largest used car retailer in the US, CarMax is focused on disrupting the auto industry once again through our transformation to a leading omni-channel retailer. To achieve this goal, CarMax has spent the last few years investing heavily in modernizing our digital and analytical infrastructure to support our customer-centric experience as the customer shopping journey continues to evolve online. We’re stitching data science throughout our business to drive a great customer experience and optimize our operations.

As a Data Science Sr. Manager at CarMax, you’ll apply your passion and expertise in data, machine learning, and entrepreneurship to create data-science applications that enrich CarMax’s culture of innovation. You will be a leader in the analytic community – advancing the use of data science in high impact areas of our business.

With millions of customer interactions every day, you’ll be tapping the industry’s best data to develop new algorithms and capabilities to enhance how Customers navigate their car buying journey, and to optimize Associate impact in the process.

The Data Science Sr. Manager will serve as a technical team lead, working with the team in a hands-on-capacity to:

• Build and enhance predictive Customer Progression models: 
• Employ a deep command of data science modeling techniques and statistics, leveraging a variety of technologies, programming languages, and cloud computing platforms
• Apply expertise in model design, training, evaluation, validation, implementation, and monitoring
• Unlock insights by analyzing large amounts of complex proprietary customer, website, and transactional data, alongside external data
• Develop an acute understanding of our data, how to access it, analyze it, and monitor it
• Assist the team in designing controlled experiments to assess the value of new applications
• Partner with cross-functional teams -- eg Product, Operations, Strategy, Data Engineering, to:
• Create new use cases for data-powered products
• Develop and implement tools that enhance the Customer Experience and the Associate Experience
• Develop sound data and modeling infrastructure
• Communicate with all levels throughout the organization to understand the business opportunities, explain the models, and influence change
• Help prioritize and manage team projects
• Grow and develop the team: delivering high quality analytics, promoting best practices, and fostering technical and professional development

Qualifications and Requirements:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

• Advanced Degree (Master’s/Ph.D.) in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering)
• Strong analytical curiosity and passion for applying advanced modeling techniques in problem solving
• 4+ years of experience in the following areas:
• Python and other languages appropriate for large scale analysis of numerical and textual data
• Data mining, machine learning, statistical modeling tools and underlying algorithms
• Data Lake and cloud computing fundamentals, Relational databases, SQL

• Sound analytical thinker with a proven track record of providing actionable insights and clear strategic direction
• Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
• Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
• Ability to train, mentor, and develop others

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 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.