Senior Staff Data Scientist, Product
Company: Google
Location: Cupertino
Posted on: April 5, 2026
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Job Description:
Minimum qualifications: Bachelors degree in Statistics,
Mathematics, Data Science, Engineering, Physics, Economics, or a
related quantitative field. 13 years of work experience using
analytics to solve product or business problems, performing
statistical analysis, and coding (e.g., Python, R, SQL) (or 10
years work experience plus a Masters degree). Preferred
qualifications: Masters degree in Statistics, Mathematics, Data
Science, Engineering, Physics, Economics, or a related quantitative
field. 15 years of work experience using analytics to solve product
or business problems, performing statistical analysis, and coding
(e.g., Python, R, SQL). About the job Help serve Googles 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. Youll 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 is an engineering company at heart. We hire people
with a broad set of technical skills who are ready to take on some
of technologys 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 $240,000-$334,000 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, Python). Direct projects
that combine analytical and organizational complexity towards
clear, sound, and actionable decisions. Own projects end-to-end,
covering problem definition, metrics development, data extraction
and manipulation, visualization, creation, and implementation of
analytical/statistical models, and presentation to stakeholders.
Address ambiguous or new problems by using the capabilities of
existing systems and collaborate to turn broad problems into work
for the team. Oversee the integration of cross-functional and
cross-organizational project/process timelines, drive improvements
and recommendations, and define operational goals and objectives.
Provide direction and accomplish results through leading/impacting
the contributions of others.
Keywords: Google, Castro Valley , Senior Staff Data Scientist, Product, IT / Software / Systems , Cupertino, California
