Business Data Scientist, gTech Users and Products at Google
Boulder, CO
$138,000–$198,000from the description
Jul 13, 2026
Boulder, CO
Jul 21, 2026
What this job asks for AI summary
A mid-level data science role within a centralized analytics team that supports Google's global product and service operations. The work centers on building ML/AI models, automated analytical tools, and data pipelines to improve operational efficiency, then communicating findings to cross-functional partners and executives. The position also involves mentoring junior team members and collaborating with engineering on workflow and troubleshooting solutions.
Mid level · 3+ years · Boulder, CO · Master's required · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 100 people in the Boulder, CO area plausibly meet what this posting asks for (data scientists). range 60–150
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 $136,988 (middle half $103,160–$169,191). 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 (8)
Two work locations are offered: Boulder, CO and Atlanta, GA. Boulder is listed first; Atlanta (CBSA 12060) is an equally valid primary location.
The minimum qualification accepts a 'relevant PhD degree' as an alternative to the Master's + 3 years experience combination. The Master's is the stated floor for the non-PhD path, so the degree requirement is set to Masters; candidates with a PhD and less experience also qualify.
Python and R are presented as interchangeable examples ('e.g., Python, R, SQL') within the required qualifications block; R is captured as an alternative to Python. SQL is listed in the same block and is treated as a separate, independently required skill.
ML and AI experience is explicitly required in the minimum qualifications. Deeper applied ML/AI techniques appear again under preferred qualifications and are captured as preferred.
Statistical analysis is a hard gate per the minimum qualifications block. The preferred qualifications elaborate on 'strong foundation in statistical methodologies,' which is the same underlying requirement.
Data pipelines appear in the responsibilities section (not a qualifications block) and are marked preferred accordingly.
Compensation is stated as $138,000–$198,000/year plus a 15% bonus target and equity; the bonus and equity are not reflected in the min/max figures, which capture base salary only.
The posting is explicitly framed as 'Mid' experience level in the title/header, consistent with the 3-year minimum experience requirement.
Read the full posting
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