Minimum qualifications
Bachelor's degree or equivalent practical experience.
1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
1 year of experience in one or more of the following areas: statistical analysis and machine learning libraries (e.g., R, Scikit-learn, Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs), or Generative AI.
Preferred qualifications
Master’s degree or PhD in Computer Science, Statistics, Mathematics, Operations Research, or a related field.
Knowledge of current abuse techniques and practices.
Ability to extract and manipulate high volumes of critical, product-related data.
Ability to describe technical implementations or analyses to a non-technical audience in an effective manner.
About the job
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.
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 diverse 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.
Responsibilities
Perform data analyses to derive insights that help identify emerging threats and fight abuse across our products.
Identify opportunities for the improvement of Google’s detection and enforcement systems as well as for automation.
Work with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements.
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