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:

• Develop a deep understanding of how users experience and interact with Waymo as they ride, leveraging qualitative feedback to develop quantitative methods for understanding and improving features

• Run experimentation to measure the effectiveness of in-car features on things like user feedback & retention

• Identify gaps for potential improvements & new product features

• Collaborate with Eng to develop robust data foundations for measuring new feature performance

• Collaborate with Product & Eng on the development of future Waymo platforms & vehicles

• Build and maintain ML framework for forecasting realistic ride hailing services in new territories

You have:

• Coding skills (Python & SQL)

• Experience with A/B testing & Product Development

• Experience implementing ML algorithms (e.g. XGBoost, Random Forest, DNNs)

• At least 3 years of industry experience

• Strong Communication and Stakeholder & Management skills

• Intuition for when to be scrappy and when to be vigorous

We prefer:

• Background in geospatial data science

• Experience with physical product development

• SF Bay Area based (you’ll need to spend a lot of time riding Waymos)

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.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range**$196,000—$248,000 USD**