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 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.

In this hybrid role, you will report to a Director, Product Data Science.

You will: \* Build and maintain state of the art reporting infrastructure to enable continuous decision making for Waymo commercialization \* Write high quality data pipelines with clear definitions to enable consistency of metrics across the company \* Work closely with Data Science, Engineering and Operations teams to enable accurate reporting to a wide variety of audiences \* Enable partner decision making through clear metrics and documentation

You have: \* Data infrastructure and reporting skills \* Coding skills (SQL) \* Data Visualization \* 6+ years of relevant experience

We prefer: \* Expertise building and maintaining data infrastructure for large organizations \* Prior experience building state of the art Reporting Infrastructure