Product Data Scientist, Google Play, Strategy and Operations
Company: Google
Location: Mountain View
Posted on: April 1, 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 using analytics
to solve product or business problems, performing statistical
analysis, and coding (e.g., Python, R, SQL) or 3 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.
Experience in advertising, and ads ranking. Experience in
marketplace, advertising, or distribution platforms. 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. Google Play provides apps,
games, and digital content services that bring Android devices to
life. Play Store is the world’s largest apps distribution platform,
which makes it easy for more than 3 billion Android monthly users
across 190 markets worldwide to discover millions of high-quality
apps, games, books, and more. We are building and operating a
global store connecting our users to amazing developer content.
Trust, choice, and delight are core tenets of our strategy. We are
constantly innovating at scale and enabling more than 2 million
developers to successfully operate their businesses worldwide in a
rapidly changing global market; a critical driver of Google’s
overall business growth. Join the Play Strategy and Operations
(StratOps) and Analytics team! We work on a variety of testing data
science projects to drive product decisions for Play. This team is
truly embedded in the product development life-cycle we are thought
partners from project ideation to experimentation, and our in-depth
analyses consistently help set strategy for the wider area we work
on. Google is an engineering company at heart. We hire people with
a broad set of technical skills who are ready to take on some of
technology's greatest challenges and make an impact on users around
the world. At Google, engineers not only revolutionize search, they
routinely work on scalability and storage solutions, large-scale
applications and entirely new platforms for developers around the
world. From Google Ads to Chrome, Android to YouTube, social to
local, Google engineers are changing the world one technological
achievement after another. 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 Perform analysis utilizing relevant tools (e.g.,
SQL, R, and Python). Help solve problems, narrow down multiple
options into the best approach, and take ownership of open-ended
ambiguous business problems to reach an optimal solution. Partner
with Data Scientists, Engineers, Product Managers (PMs), User
Experience (UX), and other cross-functional stakeholders to
understand user behavior, and design/analyze experiments and drive
product insights to improve user experiences. Build and prototype
analysis and business cases iteratively to provide insights at
scale. Develop comprehensive knowledge of Google data structures
and metrics, advocating for changes where needed for product
development. Influence across teams to align resources and
direction.
Keywords: Google, Mountain View , Product Data Scientist, Google Play, Strategy and Operations, IT / Software / Systems , Mountain View, California
