Mountain View, CA

Salary
$232,000–$253,000from the description
Posted
Jul 9, 2026
Location
Mountain View, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior data science role embedded in the Gemini app, focused on shaping product direction through experimentation, large-scale data analysis, and statistical or ML modeling. Day-to-day work involves partnering with product, engineering, and UX teams, translating open-ended questions into structured analyses, and communicating findings to executive stakeholders. Suits a quantitatively trained data scientist with experience influencing cross-functional teams.

Mid level · 4+ years · Mountain View, CA · Master's required · Full-time

Advertised as Senior, but the requirements read as Mid.

Must have (2)
statisticsML models
Nice to have (1)
GenAI

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 1,100 people in the Mountain View, CA area plausibly meet what this posting asks for (data scientists). range 470–1,650

Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.

What won't set you apart
statistics60%

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 (6)

The role is advertised as 'Senior' but the minimum qualifications gate only on a Master's degree and 4 years of experience — requirements that align with a Mid-level band. The 'Senior' label appears to reflect Google's internal leveling rather than a scope that would typically be called Senior externally.

The posting lists three possible work locations: Mountain View, CA; New York, NY; and San Francisco, CA. Mountain View is listed first and is the primary DeepMind campus; the CBSA reflects that location.

The Master's degree requirement is stated as a minimum qualification but includes 'or equivalent practical experience' — however, the phrasing is 'Master's degree … or equivalent practical experience,' which Google routinely uses as a true alternative. Degree requirement is set to Masters as the stated minimum formal credential; candidates with equivalent experience may also qualify.

Compensation is stated as $232,000–$253,000 base salary plus a 15% bonus target and equity, per Google's posted range.

The only preferred qualification listed is executive communication and cross-functional stakeholder management — no additional preferred technologies are named. GenAI collaboration is mentioned in the responsibilities section (working with the GenAI team), not in a requirements block, so it is treated as preferred context rather than a hard gate.

Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data analysis, experiment design.

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