Job Details
Posted date: Sep 05, 2025
Location: Seattle, WA
Level: Senior
Estimated salary: $153,500
Range: $126,000 - $181,000
Description
Perform data analysis to identify harmful entities, design and implement performance metrics, examine trends, and identify system vulnerabilities. Analyze malicious websites to understand their behavior and impact on users. Embrace technologies like Large Language Models (LLMs) to enhance the ability to fight abuse and phishing. Collaborate with Engineering and Product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency. Lead projects through the full project lifecycle that require cross-functional stakeholder management. Work with sensitive content or situations which may be exposed to graphic, controversial or upsetting topics or content.In this role, you will help the team in its mission to protect Google’s users. You will be increasing the coverage, accuracy, and speed of Safe Browsing enforcement systems; understanding the global threat environment for scams, phishing, malware, and unwanted software; and working on the user experience internally and externally, by communicating with webmasters, users, and partners. You will become an expert in the workings of scams, phishing, and malware, and you will help the team to detect and prevent these abuses. You will demonstrate investigative thinking and make data-motivated decisions. You will use your technical expertise and collaboration skills to make an impact.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 $126,000-$181,000 + 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 in Computer Science, Engineering, Mathematics, Statistics, Economics, a related technical field, or equivalent practical experience. 2 years of experience with analyzing datasets within abuse/fraud detection or web security research. Experience in one or more of the following: querying and analyzing datasets (e.g., SQL, MapReduce), statistical analysis (e.g., R, Stata, SAS) or data related programming (e.g., Python, C/C++).Preferred qualifications: Master's degree in Computer Science, Mathematics, Statistics, Analytics, or a related technical field. Experience in one or more of the following areas: Statistical analysis and Machine Learning libraries (e.g., R, Tensorflow), Programming languages (e.g., Python), Large Language Models (LLMs) or Generative Artificial Intelligence (AI). Knowledge of how the internet works economically, socially, and technically; with fraud detection, security, phishing, malware, or a related topics. Ability to communicate technical concepts. Ability to prioritize stakeholder demands, managing multiple responsibilities in a changing environment. Excellent problem-solving and thinking skills with attention to detail in a changing environment.
Extended Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, a related technical field, or equivalent practical experience. 2 years of experience with analyzing datasets within abuse/fraud detection or web security research. Experience in one or more of the following: querying and analyzing datasets (e.g., SQL, MapReduce), statistical analysis (e.g., R, Stata, SAS) or data related programming (e.g., Python, C/C++).Check out other jobs at Google.