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Alphabet · Sunnyvale, CA

# Staff Product Data Scientist

Sunnyvale, CA, USA +1 more Senior individual contributor Data & Analytics 

Listed on Alphabet’s official careers site. Listed as of October 13, 2026. Check that it is still open and apply there.
[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/118089244852789958-staff-product-data-scientist)

[OpenNash Jobs](https://jobs.opennash.com/) / [Alphabet](https://jobs.opennash.com/companies/alphabet/) / Staff Product Data Scientist

## Job description

info_outline About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data.

You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The Collab Data Science team shapes decision-making and provides actionable insights to guide product development for Drive, Docs, Sheets, Slides, Pics and Vids. As a Data Scientist/Analytics Engineer, you will work closely with product and engineering teams to build products part of Workspace enjoyed by 3B+ users every month.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

### US

$192000 - $278000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 13, 2026
- Last checked: Oct 13, 2026
- Listed for: Under a day
- Location: Sunnyvale, CA, USA +1 more[Apply on Alphabet’s careers site →](https://www.google.com/about/careers/applications/jobs/results/118089244852789958-staff-product-data-scientist)

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