Scaled Abuse Analyst, YouTube Trust and Safety

Scaled Abuse Analyst, YouTube Trust and Safety

Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As a Scaled Abuse Analyst, you will be solving technological challenges and setting scalable standards in the ever-evolving impersonation space.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

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.
• Experience in SQL (e.g., SQL, MySQL, MapReduce).

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.
• Experience with fraud and abuse in online platforms.
• Excellent written and verbal communication skills.

Responsibilities

• Apply advanced statistical methods to data sets to understand impact of abuse to the YouTube ecosystem. Provide data-driven insights and recommendations for abuse prevention and enforcement.
• Learn technical concepts and systems and deliver meaningful results using them. Communicate technical results and methods clearly.
• Identify product vulnerabilities and abuse trends by performing investigations using various data sources. Contribute strategy and development of new workflows against additional known vectors of abuse.
• Collaborate with stakeholders and partners in engineering, product, policy, and legal to drive anti-abuse solutions involving and impacting various cross-functional areas.

Key skills/competency

• Data Analysis
• SQL
• Project Management
• Abuse Prevention
• Impersonation Detection
• Statistical Methods
• Fraud Detection
• Machine Learning Systems
• Cross-functional Collaboration
• Vulnerability Identification