Staff Data Scientist, Launch Evaluation Quality
Waymo · Mountain View, CA | San Francisco, CA | New York City, NY · Simulation (7XW)
About this role
Waymo is hiring a staff-level Data Scientist based in Mountain View, CA | San Francisco, CA | New York City, NY. The posting calls out experience with Python, R, SQL, Machine Learning. Compensation is listed at $238,000–$302,000 per year.
- Role
- Data Scientist
- Function
- data engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Mountain View, CA | San Francisco, CA | New York City, NY
- Department
- Simulation (7XW)
More roles at Waymo
Job description
from Waymo careersWaymo 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 key initiatives for measuring the quality and trustworthiness of the behavior evaluation portfolio at Waymo, continuously identify and drive opportunities for improving the evaluation and testing methodologies, and partner closely with product and engineering teams to develop scalable solutions for monitoring and enhancing the health of the evaluation ecosystem. You will play a key role to ensure the behavior evaluation at Waymo is efficient, scientifically rigorous, and supporting Waymo’s growth priorities.