Staff Product Data Scientist, Workspace Monetization
Company: Google
Location: Cupertino
Posted on: April 4, 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 and 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 Google Workspace is a smart,
simple, and secure suite of productivity apps—including Gmail,
Docs, Drive, Calendar, Sheets, Meet, and Chat. Designed to simplify
workflows and boost team productivity, Workspace features real-time
collaboration at its core, allowing information to flow freely
across devices and teams so that great ideas are never lost. As a
Staff Data Scientist on the Workspace Monetization Product team,
you will play a key role in growing the business and impacting
millions of users worldwide. In this role, you will partner with
product and engineering teams to shape business generation and
growth strategies. 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 Act as a thought partner to Engineering and
Product Management leads, providing data-driven perspectives on
product direction and opportunities. Oversee the contributions of
others and develop colleagues’ capabilities within your area of
specialization. Conduct deep-dive analyses to identify the most
significant opportunities for growing Workspace business and user
value. Communicate complex findings and recommendations clearly and
effectively to technical and non-technical stakeholders, including
executive leadership. Own project outcomes by covering problem
definition, metrics development, data extraction and manipulation,
visualization, and the implementation of statistical models. Lead
and manage problems that may be ambiguous or lack clear precedent
by framing hypotheses and making recommendations that combine
problem-solving and product-specific expertise.
Keywords: Google, San Ramon , Staff Product Data Scientist, Workspace Monetization, IT / Software / Systems , Cupertino, California
