SECTION I · THE BRIEF

Brief #42648Updated 30 OCT 2026MOUNTAIN VIEW, CA, USA; SAN FRANCISCO, CA, USA GreenhouseKLEINER PERKINS

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Staff Product Data Scientist, Marketplace Machine Learning

Waymo is a self-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.

Location: Mountain View, CA, USA; San Francisco, CA, USA
Company size: 2,000–5,000
Posted: Today
Via: Greenhouse

Section II · Full ProfileFree with an account

01Comp band & equity packageLocked
02Seniority & experience requirementsLocked
03Interview process & rubricLocked
04Headcount & which departments are hiringLocked
05Growth trajectory in this roleLocked
06Offer & decision timelineLocked

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Job listing · Updated 30 OCT 2026

Staff Product Data Scientist, Marketplace Machine Learning

Waymo· Mountain View, CA, USA; San Francisco, CA, USA View company profile

Job title

Staff Product Data Scientist, Marketplace Machine Learning

Job location

Mountain View, CA, USA; San Francisco, CA, USA

Job listing URL

https://careers.withwaymo.com/jobs?gh_jid=8328202

Job description

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 a Product Data Science Lead

You will:

Partner with Engineering, Product, and Data Science to build ML models that improve the efficiency of Waymo's marketplace
Build models that predict conversion, wait times, and retention, and estimate the value of a vehicle in different positions
Apply forecasting models for demand and supply time series
Develop novel reinforcement learning models that continuously tune pricing, matching, and positioning parameters
Design, run, and evaluate experiments for new models
Present findings and recommendations to Waymo leadership on a regular basis

You have:

8+ years of industry experience applying ML to production problems
Strong foundation in algorithms
Proficiency in Python and SQL
Hands-on experience building and deploying ML and neural network models
Experience applying reinforcement learning to real-world systems

We prefer:

Experience building neural networks in TensorFlow, or JAX
Experience at a ride-hailing or two-sided marketplace company
MS or PhD in Computer Science, Statistics, Operations Research, or a related field

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

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