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Google • Mountain View, California, United States
Salary: $174,000 - $258,000 / year
Role & seniority: Senior Data Analyst / Data Scientist, Trust & Safety – Responsible AI Testing team at Google.
Stack/tools: SQL, Python; R/C++ (one or more); machine learning systems; data modeling, experimentation, causal inference; data visualization and reporting.
Build scalable scripts/workflows (SQL/Python) to automate data collection, enrichment, and delivery.
Translate trust & safety intelligence needs into clear data solutions; bridge technical and non-technical teams.
Establish standardized data analysis processes and deliver actionable insights; create compelling visuals/reports for stakeholders.
Bachelor's degree or equivalent; 7+ years in data analysis and 7+ years in project management.
Proficiency in SQL, Python, and at least one of R or C++; experience with ML systems.
Experience with modeling, experimentation, and causal inference; strong problem-solving and attention to detail.
Master’s degree in a quantitative discipline.
Additional experience across Trust & Safety domains (abuse, fraud), cross-functional collaboration, and handling sensitive content.
Location & work type: United States (base salary range provided); full-time role.
Bachelor's degree or equivalent practical experience. 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 7 years of experience managing projects and defining project scope, goals, and deliverables.
Master's degree in a quantitative discipline. 7 years of experience with machine learning systems.
7 years of experience with one or more of the following languages: SQL, R, Python, or C++. Experience with modeling, experimentation, and causal inference. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
About the jobTrust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
In this role, you will be at the heart of Google's commitment to building innovative and safe products, safeguarding the integrity of its platforms by delivering actionable and objective content abuse insights as a member of the Trust and Safety Responsible AI Testing team.
As a part of the Responsible AI Testing Sustainability team, you will drive a transformation in how AI testing is approached, partnering across Trust and Safety, product, and engineering teams to integrate AI and automation, turning AI insights into action.
This role works with sensitive content or situations and may be exposed to graphic, controversial, and/or upsetting topics or content.At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
The US base salary range for this full-time position is $174,000-$258,000 + 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
Build scalable scripts and workflows using SQL and Python to automate data collection, enrichment, and delivery, maximizing the team's impact. Serve as a bridge between technical and non-technical teams, effectively translating trust and safety intelligence needs into clear, actionable requirements for data solutions. Establish standardized processes and methodologies for data analysis that can be applied across various topics, ensuring consistency and efficiency in generating valuable insights. Work autonomously to identify and solve problems and collaborate effectively within a team to develop comprehensive solutions. Transform raw data into compelling visualizations and reports that clearly communicate key findings and actionable recommendations to stakeholders across the organization.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .