As a Workspace Trust and Safety Engineering Analyst, you will develop insights on abuse trends and establish a foundation for managing various Trust and Safety escalations across Workspace. You will be streamlining related processes and ensuring a safer Workspace experience for all users (e.g., consumers and Workspace enterprises). You will be a partner to bring together teams to address the most critical abuse problems impacting our users. You will identify, quantify, and help address the problems and work across Google and the broader industry.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 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
- Extract, transform, and analyze Google Workspace log data using advanced investigative methods to solve abuse challenges, investigate escalations to uncover vulnerabilities and tactics used by bad actors.
- Lead comprehensive analysis to deliver insights on abuse trends, directly contributing to the design and improvement of anti-abuse product protections.
- Partner with Engineering, Product Managers (PMs), Program Managers (PgMs), Data Scientists, and external groups to qualify, quantify, and understand complex abuse tests while co-developing company-wide counter-abuse strategies and improvements.
- Establish foundational frameworks to streamline Workspace Trust and Safety escalations, and quantify the impact of anti-abuse teams to build internal and external awareness of best practices.
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.
- 2 years of experience in manipulating data sets using SQL or other programming or scripting languages.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- 2 years of experience with machine learning systems.
- Excellent written and verbal communication skills.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.