Senior Business Data Scientist, Trust and Safety
Company: Google
Location: Austin
Posted on: April 5, 2026
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Job Description:
Minimum qualifications: Master's degree in a quantitative
discipline (e.g., Statistics, Engineering, and Sciences), or
equivalent practical experience. 4 years of experience using
analytics to solve product or business problems, coding (e.g.,
Python, R, SQL), querying databases or statistical analysis.
Preferred qualifications: 6 years of experience in a global
business driving business outcomes using data analysis, statistical
analysis, data pipelines (e.g., SQL), and dashboard solutions
(e.g., Tableau, Qlik). 3 years of experience in utilizing data
science techniques to solve business issues, including using
statistical modeling techniques and programming languages (e.g.,
Python or R) for data analysis. Experience in trust and safety,
content moderation, or risk analysis. Experience in leading
technical projects, influencing cross-functional teams and
navigating ambiguous environments. Excellent communication,
people-management, and stakeholder skills, with the ability to
translate data into clear, actionable insights for non-technical
audiences. About the job Google's leadership team hand-picks thorny
business challenges, and members of BizOps work in small teams to
find solutions. As part of this team you fully immerse yourself in
data collection, draw insight from analysis, and then zoom out to
develop compelling, synthesized recommendations. Taking strategy
one step further, you also persuasively communicate your
recommendations to senior-level executives, roll-up your sleeves to
help drive implementation and check back-in to see the impact of
your recommendations. In this role, you will be responsible for
designing and developing metrics and measurements needed to support
Trust and Safety (T&S) across various Google products,
including Search, Ads, Shopping, Publishers, and YouTube. You will
ensure stakeholders have the product, support, and operations data
they need to make crucial business decisions. You will have the
opportunity to design innovative data solutions and solve problems
using Google’s production data infrastructure to drive business
optimization and meet regulatory reporting requirements. The US
base salary range for this full-time position is $163,000-$237,000
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 Acquire an
understanding of the product, trust and safety (T&S) manual and
automated processes, tools, and customer expectations. Design and
develop scalable measurements to support reporting needs. Lead the
statistical design, definition, and implementation of metrics such
as the uncaught badness rate, creating standardized, and defensible
measurements applicable across products and violation areas.
Design, implement, and own the technical implementation of
production-level data pipelines, documentation, and the code
check-in process. Build and scale artificial intelligence
(AI)-based content rating systems in partnership with engineering
teams and measure the efficiency gains accurately from the same.
Collaborate with business and engineering stakeholders to ensure
our data is telling the right story and helping stakeholders make
data-backed decisions. Present findings and business
recommendations to multiple levels of stakeholders and leadership
teams.
Keywords: Google, Georgetown , Senior Business Data Scientist, Trust and Safety, IT / Software / Systems , Austin, Texas
