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.
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 the Product Data Science Lead, Supply Operations.
You will:
- Define, build, and maintain KPIs and metrics to measure operational safety and quality across our Operations Center
- Architect and scale data infrastructure to support automated reporting for Road Rule Events, improving operational transparency and safety insights
- Quantify our operational capacity to handle events, providing actionable data to scale team performance and optimize response protocols
- Analyze agent response precision to identify performance patterns, optimize workflows, and provide input for AI model training
- Partner cross-functionally to translate business challenges into robust data pipelines and reporting solutions that drive operational resilience
You have:
- 8+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of architecting and scaling projects
- Excellent communication and Stakeholder & Management skills: You can communicate clearly complex topic in an easy to understand way to stakeholders at all levels of the company
- Extensive experience with data modeling, warehousing and building ETL pipelines
- Action Oriented Analytical mindset - you not only build the report, you look at your data and make actionable recommendations from it
We prefer:
- Experience in the Autonomous Vehicle industry or a strong background in engineering or physics
- Experience working with Operations
