Data Scientist, Ecosystem Analysis
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 with analysis
applications (extracting insights, performing statistical analysis,
or solving business problems), and coding (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. Experience in data science methodologies, data analysis, and
experimental design. Ability to think critically, analyze complex
problems, and develop data-driven solutions. Excellent business
acumen and the ability to align research efforts with
organizational objectives. About the job Applied Research and
Strategy is responsible for horizontal analysis and methodology
development to maximize the impact and inform knowledge and
information most important strategic decisions. We drive strategic
insights for knowledge and information leaders across external
landscape, growth and our biggest long term bets. We develop
cross-knowledge and information data science strategies and
approaches, create cross-product metrics and ensure data quality
and push the envelop on new methodologies and tools to enable
insights. The mission of Data Science Applied Research and Strategy
is to drive from data insights to strategic cross-product area
decision making. In this role, you will partner with the knowledge
and information ecosystems team to understand the state and trends
in the content ecosystem, identify ways in which Google can
continue to support the ecosystem to ensure the existence and
access to the content and data necessary to power our products and
serve our users. To support this new product area, you will develop
new metrics and data sources, develop foundational understanding of
the ecosystem, and generate insights and provide direction to
product, engineering and partnerships strategies. You will be a
core member of a close and collaborative cross-functional group
across product management, engineering, UXR, and partnerships. You
will utilize and develop your technical data science expertise,
strategic product insight, cross-functional collaboration, and
executive influence and communications. 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 Work with large,
complex data sets. Solve difficult, non-routine analysis problems,
applying advanced investigative methods as needed. Conduct
end-to-end analysis that includes data gathering and requirements
specification, processing, analysis, ongoing deliverables, and
presentations. Build and prototype analysis pipelines iteratively
to provide insights at scale. Develop comprehensive understanding
of Google data structures and metrics, advocating for changes where
needed for both products development and sales activity. Interact
cross-functionally with a wide variety of people and teams. Work
closely with engineers to identify opportunities for, design, and
assess improvements to Google products. Make business
recommendations (e.g., cost-benefit, forecasting, experiment
analysis) with effective presentations of findings at multiple
levels of stakeholders through visual displays of quantitative
information.
Keywords: Google, Pleasanton , Data Scientist, Ecosystem Analysis, Energy / Utilities , Mountain View, California
