Product Data Scientist III, Analytics Insights and Measurement
Company: Google
Location: Mountain View
Posted on: April 3, 2026
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Job Description:
Minimum qualifications: Bachelor's degree in Statistics,
Mathematics, Data Science, Engineering, Physics, Economics, or a
related quantitative field. 5 years of experience with analysis
applications (e.g., extracting insights, performing statistical
analysis, or solving business problems), and coding (e.g., Python,
R, SQL) or 2 years of experience with a Master's degree. Preferred
qualifications: Master's degree in Statistics, Mathematics, Data
Science, Engineering, Physics, Economics, or a related quantitative
field. 5 years of experience with analysis applications (e.g.,
extracting insights, performing statistical analysis, or solving
business problems), and coding (e.g., Python, R, SQL). About the
job Help serve Google's worldwide user base of more than a billion
people. Data Scientists provide quantitative support, market
understanding and a strategic perspective to our partners
throughout the organization. As a data-loving member of the team,
you serve as an analytics expert for your partners, using numbers
to help them make better decisions. You will weave stories with
meaningful insight from data. You'll make critical recommendations
for your fellow Googlers in Engineering and Product Management. You
relish tallying up the numbers one minute and communicating your
findings to a team leader the next. Measurement is a cornerstone of
performance advertising, driving the majority of Google Ads
business growth. Accurate and unbiased measurement empowers bidding
engines to maximize advertiser Return On Investment (ROI),
fostering growth for both advertisers and Google. The Product
Analyst team applies advanced analytics to guide Google Ads
strategy in this crucial area, ensuring that our advertising
solutions effectively connect businesses with customers and deliver
measurable results across our broad ad platforms. Users come first
at Google. Nowhere is this more important than on our Advertising
and Commerce team: we believe that ads and commercial information
can be highly useful to our users if that information is relevant
to what our users wish to find or do. Advertisers worldwide use
Google Ads to promote their products; publishers use AdSense to
serve relevant ads on their website; and business around the world
use our products (like Google Shopping, and Google Wallet) to
support their online businesses and bring users into their offline
stores. We are constantly innovating to deliver the most effective
advertising and commerce opportunities of tomorrow. The US base
salary range for this full-time position is $138,000-$198,000 bonus
equity benefits. Our salary ranges are determined by role, level,
and location. Within the range, individual pay is determined by
work location and additional factors, including job-related skills,
experience, and relevant education or training. Your recruiter can
share more about the specific salary range for your preferred
location during the hiring process. Please note that the
compensation details listed in US role postings reflect the base
salary only, and do not include bonus, equity, or benefits. Learn
more about benefits at Google . Responsibilities Own the process of
gathering, extracting, and compiling data across sources via
relevant tools (e.g., SQL, R, Python). Format, re-structure, and
validate data to ensure quality. Report Key Performance Indicators
(KPIs) to support business reviews with
cross-functional/organizational leadership team. Translate analysis
results to business insights or product improvement opportunities.
Provide analytical insights and recommendations to influence
product feature development decisions, and with some guidance.
Build and prototype analysis and business cases iteratively to
provide insights at scale. Develop comprehensive knowledge of
Google data structures and metrics. Execute defined, moderately
difficult analytical tasks under guidance from the manager or
executive team members/TL. For straightforward problems, execute
end-to-end analysis with minimal guidance.
Keywords: Google, Milpitas , Product Data Scientist III, Analytics Insights and Measurement, IT / Software / Systems , Mountain View, California
