Research Data Scientist, Brand Advertising, YouTube Ads
Company: Google
Location: Mountain View
Posted on: April 3, 2026
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Job Description:
Minimum qualifications: Master's degree in Statistics, Data
Science, Mathematics, Physics, Economics, Operations Research,
Engineering, or a related quantitative field. 3 years of experience
using analytics to solve product or business problems, coding
(e.g., Python, R, SQL), querying databases or statistical analysis.
3 years of work experience with Online Marketplace Design, Adtech,
and Causal Inference. Preferred qualifications: PhD degree in a
quantitative field such as Engineering, Computer Science,
Mathematics, Statistics, Economics or Business Science. 5 years of
work experience using analytics to solve product or business
problems, coding (e.g., Python, R, SQL), querying databases or
statistical analysis, or a PhD degree. About the job As a Data
Scientist in the brand ads quality team, you will leverage eclectic
quantitative repertoire, spanning operations research, game theory,
statistics and machine learning skills, to build industry-leading
optimization solutions that will enable advertisers to divert a
greater share of marketing budgets to YouTube, where user
engagement outpaces all other media channels. You will be included
in the tasks such as aiming relevance, creative recommendation,
bidding optimization and impact measurement. You will grow in a
environment, and proactively identify opportunities to enhance a
business ecosystem, and showcase project ownership from solution
design to engineering implementation and data-driven analyses
culminating in production launch. You will partner with Software
Engineer's (SWEs) and Project Manger's (PMs). The US base salary
range for this full-time position is $147,000-$211,000 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 Collaborate with
stakeholders in cross-projects and team settings to identify and
clarify business or product questions to answer. Provide feedback
to translate and refine business questions into tractable analysis,
evaluation metrics, or mathematical models. Use custom data
infrastructure or existing data models as appropriate, using
specialized knowledge. Design and evaluate models to mathematically
express and solve defined problems with limited precedent. Gather
information, business goals, priorities, and organizational context
around the questions to answer, as well as the existing and
upcoming data infrastructure. Own the process of gathering,
extracting, and compiling data across sources via relevant tools
(e.g., SQL, R, Python). Separately format, re-structure, or
validate data to ensure quality, and review the dataset to ensure
it is ready for analysis.
Keywords: Google, Ceres , Research Data Scientist, Brand Advertising, YouTube Ads, IT / Software / Systems , Mountain View, California
