VP of Data Science

Salary depends on experience
Posted on 04/19/18
San Francisco, CA
Salary depends on experience
Posted on 04/19/18

Turo is looking for a VP of Data Science to lead and scale a team of data scientists and machine learning engineers that is transforming our ever-expanding data assets into production services and strategic business insights. We’re currently focused on risk, pricing, and matching, but you’ll define our full data science strategy and priorities, and own research and implementation of predictive models that are core to our business. This position reports to the CEO, is a member of the executive team, and is located at our SOMA HQ.

Key responsibilities

  • Lead and grow team that builds predictive models that improve risk management, pricing, and search. Provide vision, direction, and day-to-day management of the team
  • Work with engineering and product management to define and prioritize data science services and projects
  • Work withother functional leaders and the executive team to identify and implement opportunities for data science and machine learning to 

Key qualifications

  • Strong experience hiring and scaling data science teams
  • Extensive experience scaling data science services and predictive models in production
  • Clear and inspiring communicator to both technical and non-technical audiences
  • Exceptional people manager & strategic leader
  • Experience working in rapid growth environment that requires flexibility and continuous innovation

Benefits

  • Competitive salary and meaningful equity
  • Employer paid medical, dental, and vision insurance
  • Apple equipment
  • Four weeks paid time off, 11 paid holidays, generous parental leave
  • Weekly catered lunch
  • Stocked kitchen and beverages
  • Company-sponsored happy hours and team events
  • Turo travel credit every month

We're an equal opportunity employer and value diversity at our company. We don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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