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Staff Product Data Scientist, Workspace Collab

Google - Seattle, WA, USA; +2 more

Posted Jun 10, 2026

Benefits

Parental leave
18 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
18 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
$192K-$279K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

110% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Product Data Scientist, Workspace Collab Seattle, WA, USA; +2 more The Workspace Collab Data Science team empowers product teams for Drive, Docs, Sheets, Slides, Vids (and more) through development of key metrics, data-driven insights, modeling, experimentation and other forms of causal inference to grow product adoption and AI usage. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Define, own and evolve product success metrics. Report, analyze and forecast trends of key product metrics and make recommendations to improve them. Lead the design, analysis, and interpretation of product experiments. Proactively perform data exploration to understand user behavior and identify opportunities for improving and growing Workspace products. Apply technical expertise with observational data analysis, modeling, and causal inference to answer the most important product questions. Partner with Product, Engineering, UX and cross-functional teams to influence, prioritize and support product strategy. Deliver effective presentations of data-driven insights and recommendations to multiple levels of stakeholders. Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work

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