Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
Waymo’s Product Data Science team works with Engineering, Product and Operations to help us make the most informed decisions using data. Our team collaborates on projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, and to new information.
In this hybrid role, you will report to Head of Product Data Science, Commercialization.
You will:
- Build marketplace models that improve our overall understanding of the ride-hailing business and guide investment decisions across the company
- Act as a technical leader across our marketplace management teams and ensure right solutions are being developed and delivered
- Analyze complex operational and commercial data to enhance performance as Waymo scales our AV business
- Function as a thought partner with senior management and stakeholders, and align stakeholders around the vision to gain cross-functional support
- Mentor and grow other Data Scientists within the organization
You have:
- 10+ years of experience in the Marketplace Optimization space, building models and algorithms
- Statistical knowledge/data intuition
- Ability to structure and solve ambiguous problems
- Strong Coding skills and experience
- Experience interacting with senior leadership
We prefer:
- Transportation or AV experience
- Marketplace business experience
- Experience interacting with Engineering teams
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
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