Staff Product Data Scientist, Experimentation

Waymo · San Francisco, CA

Pay

$230k–284k

Setting

On-site

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Why Waymo Working at Waymo Teams Early careers How we hire Open roles Visit Waymo.com Staff Product Data Scientist, Experimentation MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES FULL-TIME PRODUCT 5161 Apply now Add to favorites View favorites 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. Salary Range $230,000—$284,000 USD We appreciate your interest in Waymo. Waymo is proud to be an equal opportunity employer, committed to creating a culture of belonging and maintaining a supportive workplace for all employees. We welcome applicants of all backgrounds, and employment decisions are based on a candidate’s qualifications, experience, and alignment with job requirements and business needs. 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First Name (required) Last Name (required) Email (required) Choose departments and locations you're interested in: Finalize your job alert by selecting criteria from the dropdowns below. You can select multiple options from each dropdown by returning to the combobox and re-entering the list of options. Submit at the end to create your job alert. Departments PRODUCT Locations MOUNTAIN VIEW, CALIFORNIA, UNITED STATESSAN FRANCISCO, CALIFORNIA, UNITED STATES Notify me By submitting your email address, you agree to our Candidate Privacy Policy. The data you enter will be retained for two years (four years in California), unless you delete it before that time. You may unsubscribe from job alerts or remove your data from the system at any time. Related Job Openings Senior Product Data Scientist, Planning Mountain View, California. San Francisco, California Staff Product Data Scientist, Paid Media Mountain View, California. San Francisco, California Staff Data Scientist Mountain View, California. San Francisco, California Senior Data Scientist Mountain View, California. San Francisco, California Quick Links How We Hire Our Benefits Some of our Benefits Health and wellness Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, gym membership, and special wellness programs. Financial wellness Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, employees provident fund, and lots of other perks and employee discounts. Flexibility and time off Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site or hybrid work model and offer remote working opportunities, paid time off, bereavement, sick, and parental leave. Previous Next Learn more Ready to Apply? To ensure thorough consideration of each application, candidates may submit up to 5 job applications within a 60-day period. We encourage you to carefully review job descriptions and apply to positions that best match your skills. Applications beyond this limit will not be considered. First Name (required) Last Name (required) Email (required) Phone Number (required) Resume (required) Accepted formats: PDF, DOC, DOCX, RTF, ODT, XML, DOT, PNG, GIF, JPG, JPEG, ZIP Cover Letter Accepted formats: PDF, DOC, DOCX, RTF, ODT, XML, DOT, PNG, GIF, JPG, JPEG, ZIP Website LinkedIn Profile How did you hear about this opportunity? 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