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Driven Brands Inc. | Hiring | Data Scientist | San Francisco, CA | BigDataKB.com | 2022-09-29

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Job Location: San Francisco, CA

Overview

Headquartered in Charlotte, NC, Driven Brands (NASDAQ: DRVN) is the largest automotive services company in North America, providing a range of consumer and commercial automotive needs, including paint, collision, glass, vehicle repair, oil change, maintenance and car wash.

With over 4,500 centers in 15 countries, Driven Brands is the parent company of some of North America’s leading automotive service brands including Take 5 Oil Change, Take 5 Car Wash, Driven Glass, Meineke, Maaco, CARSTAR, and more. Our network services over 50 million vehicles annually and generates more than $5 billion in system-wide sales each year.

We are seeking a professional and motivated individual with analytical and business intelligence capabilities to join our Analytics team as a Data Scientist. This is a full-time position with comprehensive benefits based our of our office in Benicia, CA.

Responsibilities

  • Work with stakeholders throughout the organization (Operations/Supply Chain, Sales/Marketing, Finance, etc.) to identify opportunities for leveraging company data to drive business solutions
  • Develop scalable statistical, machine learning or mathematical solutions for complex business problems such as Pricing, Inventory Reordering, and Demand Forecasting
  • Perform analytical studies and generate actionable recommendations.
  • Use statistical techniques and hypothesis testing to validate your findings
  • Opportunity to quickly assume additional responsibilities
  • Develop knowledge and understanding of our business model

Qualifications

  • 2-5 years of experience in leveraging data for business impact
  • A deep understanding of statistical analysis (e.g. hypothesis testing, experimentation, regressions) and machine learning algorithms (supervised and unsupervised models)
  • Demonstrated programming experience with at least one analytic tool (R, Python, Scala, etc.).
  • Ability to write and optimize complex SQL queries.
  • Experience in building and deploying cloud-based data pipelines and applications (GCP, AWS) is a plus
  • Ability to communicate clearly and effectively to cross-functional partners of varying technical levels
  • Ability to work independently and proactively as well as collaborating in a team

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