Business Data Scientist, AI Foundations
Listing collected from Google's career site. NextChapter is independent of Google.
San Jose, CA · Posted November 10, 2026
Just laid off? Start here: a plan for the first weeks
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Where San Jose, CA ranks
Where San Jose, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for marketing pay after cost of living$204k · of 16
- #1Best cities for aerospace and defense pay after cost of living$187k · of 19
- #2Best cities for security pay after cost of living$220k · of 10
- #3Best cities for technology pay after cost of living$205k · of 80
- #5Best cities for technology jobs1,449 openings · of 100
- #5Cities with the most jobs that do not need a four-year degree in the West Coast162 jobs · of 47
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: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience with AI products, technologies, and infrastructure. Experience with statistical modeling, causal inference, A/B testing, or experimental design. Experience with regression analysis for prediction and forecasting.