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Job Details
Posted date: Feb 26, 2026
Location: Seattle, WA
Level: Senior
Estimated salary: $133,500
Range: $110,000 - $157,000
Description
Collaborate with cross-functional groups such as PM, Engineering, Sales and Legal to drive projects that increases users' safety and provide better online experience through Google Ads. Execute complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud prevention and influence change in existing abuse detection systems without compromising the advertiser experience. Conduct investigations to catch fraudsters, enforce our product policies, learn scam patterns/trends and identify product vulnerabilities. Identify automation and efficiency opportunities and drive solutions through analysis and/or cross-functional partnerships. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays. This role works with sensitive content or situations and may be exposed to graphic, controversial, and/or upsetting topics or content.Trust & 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 strategic 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.
The Trust and Safety Ads & Shopping - Scams team is leading the way in reducing scams while improving user experience on the platform. Our vision is integral to our day-to-day work. As a team, we work across multiple policy areas and focus on using various analytical solutions to address the ever changing scams landscape.
As a T&S Ads Scams Analyst, you will be responsible for protecting users from offline scams - scams which take place outside the Google Ads Platform. You will use data to provide recommendations to products and devise solutions (global & hyperlocal) to stay ahead of the fraudsters. You will also be responsible for ensuring good advertisers are provided the right opportunity to serve. As an analyst, you will use Applied AI, machine learning or other techniques to optimize human review cost and efficiency while continuously identifying enforcement gaps and automation opportunities.
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 $110,000-$157,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience.4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields.
Preferred qualifications: Master's degree. Education in, or experience with, machine learning.
Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or experience in a scripting/programming language (e.g. Python).
Excellent communication and presentation skills (written and verbal) and the ability to influence cross-functionally at various levels.
Extended Qualifications
Bachelor's degree or equivalent practical experience.4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields.