Staff Product Data Scientist, Enterprise Platform
Company: Google
Location: Mountain View
Posted on: January 10, 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 experience using analytics
to solve product or business problems, performing statistical
analysis, and coding (e.g., Python, R, SQL) (or 8 years work
experience with a Masters degree). Preferred qualifications:
Masters 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 To accelerate the growth and market
leadership of Enterprise Buying Platforms by answering critical
business questions and delivering actionable, data-driven insights
that inform product and commercial strategy. The Enterprise
Platform Data Science Team provides quantitative support, market
understanding and a strategic perspective to our partners
throughout the organization, in close collaboration with the Ads
and Commerce Finance team.Google Ads is helping power the open
internet with the best technology that connects and creates value
for people, publishers, advertisers, and Google. We’re made up of
multiple teams, building Google’s Advertising products including
search, display, shopping, travel and video advertising, as well as
analytics. Our teams create trusted experiences between people and
businesses with useful ads. We help grow businesses of all sizes
from small businesses, to large brands, to YouTube creators, with
effective advertiser tools that deliver measurable results. We also
enable Google to engage with customers at scale. The US base salary
range for this full-time position is $183,000-$271,000 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 thought
leadership through strategic contributions (e.g., suggests new
analyses, infrastructure or experiments to drive improvements in
the business). 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, investiagtive 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. Align cross-functional Ads stakeholders (GBO,
Product and Finance) on a cross-functional process and discipline
for the quantitative attribution of impact on key product
initiatives. Understand of the data sets used by Enterprise
Platforms and partner teams, collaborating with Engineering teams
to identify and address instrumentation gaps, ensuring accurate
data collection for key functionalities.
Keywords: Google, Vallejo , Staff Product Data Scientist, Enterprise Platform, IT / Software / Systems , Mountain View, California
