jobctl

Staff Product Data Scientist, Fleet Infrastructure

Waymo - Mountain View, CA, USA, San Francisco - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
230,000-284,000 USD / year
Categories
Product (78L)
Tech
pythondatastaff
Source
waymo
First observed
2026-08-19 07:55 UTC
Last seen
2026-11-05 18:53 UTC
Source claims posted
2026-06-29 16:51 UTC
Consecutive misses
0 of 3

What the posting says

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.

You will:

In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:

Building and maintaining optimization and simulation models to help make data driven infrastructure decisions.

Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement.

Collaborate with cross functional partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo.

You have:

8+ years of experience in operations research, optimization or supply chain.

Strong communication to work with multiple cross functional partners, including Operations and Product Management.

Proficiency in Python and SQL.

Master degree in a quantitative field.

We prefer:

Experience at a ride-hailing or two-sided marketplace company.

Experience in leveraging marketplace simulation.

PhD in Computer Science, Operations Research, Optimization, Supply Chain, Industrial Engineering 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

Quality

Completeness: 80%
Honesty: 70%

Based on 24 observation(s).

Timeline

  1. *
    #177760 2026-08-19 07:55 UTC
    Published
  2. ~
    #194231 2026-08-19 19:29 UTC
    Modified
    • source_updated_at
      2026-08-14T12:42:55-04:00->2026-08-19T15:18:48-04:00
  3. ~
    #255046 2026-08-21 19:53 UTC
    Modified
    • Locations
      Mountain View, CA, US, San Francisco, CA, US->Mountain View, CA, USA, San Francisco, CA, USA
    • source_updated_at
      2026-08-19T15:18:48-04:00->2026-08-21T12:35:51-04:00
  4. ~
    #312181 2026-08-23 23:29 UTC
    Modified
    • Remote policy
      Not stated->Hybrid
    • Salary range
      230,000-284,000 USD->230,000-284,000 USD / year
  5. ~
    #375219 2026-08-26 03:25 UTC
    Modified
    • source_updated_at
      2026-08-21T12:35:51-04:00->2026-08-25T21:06:08-04:00
  6. ~
    #536817 2026-09-02 21:41 UTC
    Modified
    • source_updated_at
      2026-08-25T21:06:08-04:00->2026-09-02T15:45:01-04:00
  7. ~
    #913653 2026-09-22 02:28 UTC
    Modified
    • source_updated_at
      2026-09-02T15:45:01-04:00->2026-09-21T17:51:43-04:00
  8. o
    #988750 2026-09-25 02:54 UTC
    Not seen
    Miss 1 in a row
  9. o
    #991243 2026-09-25 06:55 UTC
    Not seen
    Miss 2 in a row
  10. o
    #995919 2026-09-25 10:56 UTC
    Not seen
    Miss 3 in a row
  11. x
    #995920 2026-09-25 10:56 UTC
    Closed
  12. ^
    #1084272 2026-09-30 03:43 UTC
    Reopened
  13. ~
    #1084273 2026-09-30 03:43 UTC
    Modified
    • source_updated_at
      2026-09-21T17:51:43-04:00->2026-09-29T22:42:51-04:00
  14. ~
    #1146480 2026-10-03 00:37 UTC
    Modified
    • source_updated_at
      2026-09-29T22:42:51-04:00->2026-10-02T17:53:42-04:00
  15. ~
    #1428545 2026-10-19 21:59 UTC
    Modified
    • source_updated_at
      2026-10-02T17:53:42-04:00->2026-10-19T14:56:32-04:00
  16. ~
    #1448269 2026-10-20 22:02 UTC
    Modified
    • source_updated_at
      2026-10-19T14:56:32-04:00->2026-10-20T17:00:55-04:00
  17. o
    #1717841 2026-11-03 22:47 UTC
    Not seen
    Miss 1 in a row
  18. ~
    #1721390 2026-11-04 02:47 UTC
    Modified
    • source_updated_at
      2026-10-20T17:00:55-04:00->2026-11-03T19:01:02-05:00
  19. o
    #1747320 2026-11-05 02:52 UTC
    Not seen
    Miss 1 in a row
  20. o
    #1749488 2026-11-05 06:52 UTC
    Not seen
    Miss 2 in a row
  21. o
    #1752583 2026-11-05 10:52 UTC
    Not seen
    Miss 3 in a row
  22. x
    #1752584 2026-11-05 10:52 UTC
    Closed
  23. ^
    #1761852 2026-11-05 18:53 UTC
    Reopened
  24. ~
    #1761853 2026-11-05 18:53 UTC
    Modified
    • Title
      Staff Product Data Scientist, Infrastructure->Staff Product Data Scientist, Fleet Infrastructure
    • 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...->Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google...
    • Remote policy
      Hybrid->Not stated
    • source_updated_at
      2026-11-03T19:01:02-05:00->2026-11-05T12:14:25-05:00