Staff Data Scientist, Product
Company: Google
Location: Cupertino
Posted on: April 2, 2026
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Job Description:
Minimum qualifications: Bachelors degree in Statistics,
Mathematics, Data Science, Engineering, Physics, Economics, or a
related quantitative field. 10 years of work experience using
analytics to solve product or business problems, performing
statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years
work experience plus a Masters degree). Preferred qualifications:
Masters degree in Statistics, Mathematics, Data Science,
Engineering, Physics, Economics, or a related quantitative field.
12 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 $192,000-$278,000 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). Provide analytical
thought leadership through proactive and strategic contributions
(e.g., suggests new analyses, infrastructure or experiments to
drive improvements in the business). Own outcomes for projects by
covering problem definition, metrics development, data extraction
and manipulation, visualization, creation, and implementation of
analytical/statistical models, and presentation to stakeholders.
Develop solutions, lead, and manage problems that may be ambiguous
and lacking clear precedent by framing problems, generating
hypotheses, and making recommendations from a perspective that
combines both, analytical and product-specific expertise. Oversee
the integration of cross-functional and cross-organizational
project/process timelines, develop process improvements and
recommendations, and help define operational goals and objectives.
Directly or indirectly oversee the contributions of others and
develop colleagues’ capabilities in the area of specialization.
Keywords: Google, Sunnyvale , Staff Data Scientist, Product, IT / Software / Systems , Cupertino, California
