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 Data Science team is an important part of our mission to develop safe and reliable autonomous-driving technology. DS team is part of Engineering department, and partners across Product, System Engineering, SimEval, and related teams. We use data analysis and leverage statistical expertise to evaluate and improve the Waymo Driver, focusing on areas like reliability, driving quality, and safety. Our work ensures that data-driven insights inform key aspects of Waymo's development process. You will help build the data infrastructure behind reporting and analytics for some core pillars supported by the Waymo Data Science team.
You will:
- Build state of the art reporting infrastructure (data pipelines, dashboards) to ensure decision making within one of:
- Waymo Driving Quality
- Waymo Collision Safety
- Waymo Reliability
- Write high quality data pipelines with clear definitions to ensure consistency of metrics across the company
- Work with Data Science, Engineering, Operations, Product, and Regulatory teams to allow accurate reporting to several audiences
- Prepare content and communicate to Waymo leadership
- Run deep analyses into data trends observed to drive partner team goals
You have:
- Data infrastructure and reporting skills
- Coding skills (SQL)
- Data Visualization
- 4+ years of relevant experience
We prefer:
- Expertise building and maintaining data infrastructure for large organizations
- Prior experience building state of the art Reporting Infrastructure
