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Waymo is seeking a seasoned Product Data Scientist leader to guide a team of analysts and engineers in shaping data-driven strategies for the Waymo Driver. Report to a Product Data Science Lead in a hybrid work setting, influencing product, operations, and strategy with rigorous analysis and scalable models.
The candidate will drive machine learning initiatives, mentor data scientists, and collaborate with product and engineering to optimize performance and expansion across markets.
Waymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact 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, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to a Product Data Science, Lead.
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.
$272,000—$336,000 USD