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 written and verbal communication skills.

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.

• Perform analysis of ad traffic data and product and policy trends to identify fraud and abuse on ad products.

• Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse. Work with engineers and interact cross-functionally with stakeholders to improve operational workflows via process improvements, automation, and anti-abuse system creation.

• Partner with Engineering teams to improve Google's ad traffic infrastructure, defense systems, and workflows, and identify and help implement advanced machine learning techniques, as well as automated or scaled defenses.

• Drive projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and solving product loopholes.

• Work with teammates and collaborators to reverse engineer, penetration test, and develop signals against sophisticated abuse vectors.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.