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 a Staff Product Data Scientist.
You will:
- Define the science roadmap for Waymo’s marketplace experimentation platform
- Develop advanced testing methodologies to solve for physical-world dynamics like network effects and spatial-temporal correlations
- Establish rigorous best practices for experiment design and evaluation across the broader product organization
- Partner with engineering to translate algorithmic logic into automated, production-grade pipelines
- Act as the primary domain expert on causal inference, providing technical leadership and translating complex results into clear product strategy
You have:
- An advanced degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Computer Science)
- 8+ years of industry experience with a deep focus on causal inference, experimental design, and applied statistics
- Proficiency in SQL and Python, with a track record of partnering with engineering to build automated experimentation tools
- Strong product sense and the ability to explain technical concepts to non-technical stakeholders
We prefer:
- Experience with two-sided marketplaces and physical-world operations (e.g., ride-hailing, delivery)
- Familiarity with core marketplace systems (e.g., pricing, matching)
- Experience integrating algorithmic methods into large-scale internal platforms
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.
Skills Required
- Advanced degree in a quantitative field (Statistics, Economics, Operations Research, Computer Science)
- 8+ years industry experience focused on causal inference, experimental design, and applied statistics
- Proficiency in SQL
- Proficiency in Python
- Track record partnering with engineering to build automated experimentation tools and pipelines
- Strong product sense and ability to explain technical concepts to non-technical stakeholders
- Experience with two-sided marketplaces and physical-world operations (e.g., ride-hailing, delivery)
- Familiarity with core marketplace systems (pricing, matching)
- Experience integrating algorithmic methods into large-scale internal platforms
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
-
Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
-
Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
-
Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
