Waymo - Mountain View, CA
posted 5 months ago
Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its inception 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 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. This hybrid role will report to our Product Data Science team. In this role, you'll partner with Operations, Product, and Engineering teams to scale and improve Waymo's fleet operations. You will perform advanced analytics and modeling to increase the availability of Waymo's vehicles, build and maintain state-of-the-art reporting infrastructure to enable continuous decision-making, and work closely with Engineering teams to define and build data infrastructure for fleet operations. Additionally, you will communicate and present on a regular basis to Waymo leadership.