Pay
Higher than most similar jobs
$230K–$284K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Staff Product Data Scientist, Marketplace ML
Mountain View, CA, USA; San Francisco, CA, USA
Actively hiring, first seen by us 6 days ago- Pay
USD 230,000–284,000/yearAnnual period assumed — pay source
Salary Range $230,000—$284,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild ML models predicting conversion, wait times, and retention
Apply forecasting models for demand and supply time series
Develop reinforcement learning models that tune pricing, matching, and positioning
Design, run, and evaluate experiments for new models
Present findings and recommendations to Waymo leadership regularly
From the employer’s posting
Build models that predict conversion, wait times, and retention
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
What you’ll bring
All qualificationsCore experience
- 8+ years of industry ML experience on 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
Qualification wording
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
Education & alternatives
- 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.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 31, 20266 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 6
Early. Similar jobs usually come down between day 7 and day 56.
At Waymo, jobs usually come down by about day 68.
From 10,289 similar postings that came down, and 42 of Waymo’s. Coming down is not always a hire.
Waymo is hiring
81 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Its jobs tend to stay up a long time
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- TensorFlow
Where the posting names them
- Strong foundation in algorithms - Proficiency in Python and SQL - Hands-on experience building and deploying ML and neural network models
We prefer: - Experience building neural networks in TensorFlow, or JAX - Experience at a ride-hailing or two-sided marketplace company
Your next step
Complete your application on careers.withwaymo.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary Range $230,000—$284,000 USD
- Location & working pattern
Mountain View, CA, USA; San Francisco, CA, USA
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:
More source context
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.