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 managing projects and defining project scope, goals, and deliverables.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• 1 year of experience with one or more of the following languages: SQL, R, Python, or C++.
  
• 1 year of experience with machine learning systems.
  
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
  
• Excellent written and verbal communication skills.
  

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

• Identify and investigate possible failure modes for Generative AI products on a broad range from sociotechnical harms to misuse.
  
• Perform analysis of risks, measure and mitigate AI-related risks, using benchmarking, evaluations, dataset design, and usage monitoring.
  
• Prepare analysis reports and present findings and solutions to stakeholders with exceptional written and verbal communication.
  
• Collaborate with other Google teams to ensure that the issues are understood and solutions are adopted.