Staff Product Data Scientist, Workspace Collaboration Data Science
Company: Google
Location: New York City
Posted on: April 6, 2026
|
|
|
Job Description:
Minimum qualifications: Bachelor's degree in Statistics,
Mathematics, Data Science, Engineering, Physics, Economics, or a
related quantitative field. 10 years of experience using analytics
to solve product or business problems, performing statistical
analysis, and coding (e.g., Python, R, SQL) or 8 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.
12 years of experience using analytics to solve product or business
problems, performing statistical analysis, and coding (e.g.,
Python, R, SQL). About the job The Workspace Collaboration Data
Science team empowers product teams for Drive, Docs, Sheets,
Slides, Vids (and more) through development of key metrics,
data-driven insights, modeling, experimentation and other forms of
causal inference to grow product adoption and AI usage. 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 Define, own and
evolve product success metrics. Report, analyze and forecast trends
of key product metrics and make recommendations to improve them.
Lead the design, analysis, and interpretation of product
experiments. Proactively perform data exploration to understand
user behavior and identify opportunities for improving and growing
Workspace products. Apply technical expertise with observational
data analysis, modeling, and causal inference to answer the most
important product questions. Partner with Product, Engineering, UX
and cross-functional teams to influence, prioritize and support
product strategy. Deliver effective presentations of data-driven
insights and recommendations to multiple levels of
stakeholders.
Keywords: Google, Greenwich , Staff Product Data Scientist, Workspace Collaboration Data Science, IT / Software / Systems , New York City, Connecticut
