Staff Data Scientist, Product
Listing collected from Google's career site. NextChapter is independent of Google.
Kirkland, WA · Posted November 12, 2026
Just laid off? Start here: a plan for the first weeks
More in Washington job market · All Staff Data Scientist jobs (67) · Technology & Software · Data & Analytics jobs
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Where Kirkland, WA ranks
Where Kirkland, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for aerospace and defense pay after cost of living$160k · of 19
- #6Best cities for AI-skill jobs in the Pacific Northwest11% · of 17
- #6Best cities for software and engineering jobs in the Pacific Northwest82 openings · of 14
- #7Best cities for mid-career professionals in the Pacific Northwest56% · of 17
- #8Best cities for junior jobs in Washington23% · of 12
- #9Best college towns for junior jobs in the Pacific Northwest25% · of 13
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Google has filed one layoff notice in the last twelve months, covering 52 workers, most recently August 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
Skills this job asks for
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About the job
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 work experience plus a Master's degree).