AI Protection Analyst
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 2 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Master's degree or PhD in a technical discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research etc.).
- 5 years of experience with data analysis.
- 2 years of experience with one or more of the following languages SQL, R, Python, or C++.
- Experience in security threat or abuse detection.
- Knowledge in anomaly detection, security threats analysis and investigation, time-series analysis, or metrics and reporting.
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.
In this role, you will ensure a safe and secure payments environment for users, and will identify and solve problems to innovate and optimize processes and tools. You will also work with Product and Engineering teams to make sure that new products and features provide a safe experience for users.
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
- Analyze and solve problems using data and statistical methods.
- Improve tools and automated systems through data analysis, technical knowledge, and present to stakeholders.
- Identify and investigate possible failure modes for Generative AI products on a broad range.
- Perform analysis of risks, measure and mitigate AI-related risks, using benchmarking, evaluations, dataset design, and usage monitoring.
- Collaborate with other Google teams to ensure that issues are understood and solutions are adopted.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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