Staff Product Data Scientist, Education at Google
Mountain View, CA
$192,000–$279,000from the description
Jul 10, 2026
Mountain View, CA
Jul 21, 2026
What this job asks for AI summary
A senior data science role embedded in Google's Education team, focused on measuring and improving the performance of Google for Education and Workspace products. Day-to-day work spans defining success metrics, designing and analyzing experiments, building predictive and causal inference models, and advising product and engineering teams on strategy. The role suits a highly experienced quantitative analyst comfortable operating across ambiguous, cross-functional problems.
Senior level · 10+ years · Mountain View, CA · Bachelor's required · Full-time
Advertised as Staff, but the requirements read as Senior.
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 160 people in the Mountain View, CA area plausibly meet what this posting asks for (data scientists). range 120–210
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is titled 'Staff' but the actual requirements — 10 years of analytics/coding experience, individual contributor scope focused on a single product area (Google for Education) — are consistent with a Senior-level role. 'Staff' at Google is a formal level designation, but the JD describes no cross-org technical authority beyond the Education product area, so the requirements support Senior.
The minimum qualification accepts either 10 years with a Bachelor's or 8 years with a Master's. The degree requirement is set to Bachelor's (the minimum hard gate); a Master's is listed under Preferred qualifications.
Python and R are listed together as interchangeable coding examples ('e.g., Python, R, SQL') in the minimum qualifications. Python is emitted as the primary with R as an alternative; SQL is emitted separately as it is a distinct, non-interchangeable skill.
Statistical analysis, causal inference, observational data analysis, predictive modeling, and experiment design (A/B testing) are all explicitly called out in the responsibilities and minimum qualifications as core day-to-day work.
The posting lists multiple possible work locations: Mountain View CA, New York NY, and San Francisco CA. Mountain View (San Jose–Sunnyvale–Santa Clara CBSA, 41940) is listed first and is Google's primary HQ; it is used as the primary CBSA.
Compensation is stated as $192,000–$279,000/year plus a 20% bonus target and equity.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): observational data analysis, predictive modeling.
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