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Staff Product Data Scientist, Experimentation
Mountain View, California, United States | San Francisco, California, United States Full-Time Product 5161
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Staff Product Data Scientist, Experimentation
- 5161
- On Site
- Mountain View, California
- San Francisco, California
- Product
- Full-Time
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
- 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
- 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
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. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, family status, pregnancy, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to making sure our hiring process is accessible for all candidates. If you need assistance applying for a role or participating in the interview process due to a disability, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)
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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.
Supporting families
When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include 26 weeks of paid leave for birthing parents and 18 weeks of paid leave for non-birthing parents.
Community and personal development
At Waymo, you'll find a range of opportunities to grow, connect, and give back. We offer education reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.
Cool perks
Access to Google offices, cafes, wellness centers, massages, and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.
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Salary : $230,000 - $284,000