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.

This role follows a hybrid work schedule and you will report to the Manager of Product Data Science.

You will:

Work with Product & Engineering stakeholders to understand and improve Waymo’s pickup & dropoff (aka “PuDo”) performance across various contexts
Run experiments to ensure that new driving behaviors are creating the intended improvements for our riders
Build ML models to identify anomalous PuDo behavior
Develop metrics that clarify what a ‘good’ PuDo is in various contexts, and collaborate with data engineers to ensure metric availability
Help us improve and validate performance for Airport PuDos as we scale to more airports
Conduct deep dive analysis to identify areas for future improvement

You have:

Coding skills (Python & SQL)
Experience with A/B testing & Product Development
ML Experience
Proficiency in data pipeline development
At least 5 years of industry experience
Strong Communication and Stakeholder & Management skills

We prefer:

SF Bay Area based
Experience with geospatial data

Travel requirements:

Potential to travel to pre-launch Waymo territories

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Senior Product Data Scientist, Pickups & Dropoffs

Want to see the full job description?

Job details

Waymo