Qualifications

Minimum qualifications:

• Bachelor\'s degree or equivalent practical experience.
  
• 4 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 Statistics, Mathematics, or a related quantitative discipline.
  
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
  
• Experience collecting, managing, and synthesizing large data sets and information from disparate sources, statistical modeling, data mining, and data analysis.
  
• Experience in problem-solving and a quantitative techniques, capable of translating analytical insights into business strategies and actions to achieve innovation, ƒstreamline processes and procedures, and reduce the error rate through ƒeducation/training.
• Excellent critical thinking skills with attention to detail.
  

Summary

• Bachelor\'s degree or equivalent practical experience.
  
• 4 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.
  

Description

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 be trained to use tools that analyze datasets that are Google-scale, understand advanced data analysis techniques we use to prevent fraud and abuse, collaborate on projects with Engineering, Product, Sales and Legal stakeholders and protect advertisers.

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

• Apply advanced statistical methods to complex data sets to analyze the impact of abuse on the ads (video) ecosystem. 
  
• Perform fraud and spam investigations using various data sources, identify product vulnerabilities, and drive anti-abuse experiments to prevent abuse. Work directly with Product, Engineering, and Trust and Safety teams to prevent abuse by changing policies and closing product issues.
  
• Work with engineers and stakeholders to improve workflows via process improvements, automation, and anti-abuse system creation. Collaborate with, mentor, and provide guidance to global team members.
  
• Conduct complex fraud investigations using data and identify gaps in current defenses, explore/experiment with new signals, and develop solutions for scalable enforcement on non-compliant publisher inventory with a focus on Android.
  
• Review and will be exposed to sensitive content in this role.
  

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