Senior Data Scientist Manager, Product
Company: Google
Location: Mountain View
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor's 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 with a Master's degree). 5 years of
experience as a people manager within a technical leadership role.
Preferred qualifications: Master's 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). 6 years of
experience as a people manager within a technical leadership role.
About the job Measurement is a cornerstone of performance
advertising, driving the majority of Google Ads business growth.
Accurate and unbiased measurement empowers bidding engines to
maximize advertiser ROI, fostering growth for both advertisers and
Google. The Product Analyst team applies advanced analytics to
guide Google Ads strategy in this crucial area, ensuring that the
advertising solutions effectively connect businesses with customers
and deliver measurable results across the various Ad platforms. The
AIM Data Science Team provides quantitative support, market
understanding and a strategic perspective to the partners
throughout the organization, in close collaboration with the Ads
and Commerce Finance team. In this role, you will help drive the
goal of how large advertisers buy Google and third-party
advertising inventory efficiently. You will be responsible for
setting the team's strategic direction, and managing stakeholder
relationships. 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 $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,
manipulation, visualization, creation, and implementation of
analytical/statistical models, and presentation to stakeholders.
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. Build an understanding of the data
sets used by Enterprise Platforms and partner teams, collaborate
with Engineering teams to identify and address instrumentation
gaps, ensure accurate data collection for key functionalities, with
a focus on the most impactful features.
Keywords: Google, Stockton , Senior Data Scientist Manager, Product, PR / Public Relations , Mountain View, California
