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. Rigorous behavioral evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead a specialized data science team tasked with providing early insights into the behavioral performance (safety, progress, quality) for new hardware platforms and new territories, helping to ensure Waymo can achieve targeted behavioral improvements while maintaining the requisite strict safety standard. In addition to providing insights, this team develops and deploys statistical and testing methodologies to bolster the rigor and actionability of our eval for all users. You and your team will work closely with the Onboard engineering team developing the Waymo Driver to ensure they have the evaluation tools to effectively iterate and improve behavior across a wide range of driving contexts. In this hybrid role you will report to the DS Lead for Onboard Behavioral Evaluation.