Abuse Analyst - Trust and Safety

Scaled Abuse Analyst, YouTube Trust and Safety

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or a related field.
• 1 year of experience with SQL, R, Python, or C++

Preferred qualifications:

• Experience in metrics analysis, experiment design and automation.
• Experience translating investigative insights into business strategies and actions.
• Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis.
• Experience creating opportunities to innovate, conceptualize and complete while working with global teams.
• Excellent written and verbal communication and presentation skills, with the ability to influence cross-functionally at various levels.

About the job

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.

YouTube Trust and Safety is dedicated to ensuring that YouTube is a place for users, viewers, and 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 and Safety team is on the frontline of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

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 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.

Responsibilities

• 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 workflows via process improvements, automation and anti-abuse system creation.
• Design and refine prompts for Large Language Models (LLMs) to improve accuracy in identifying, classifying abusive content and behavior. This may include prompt engineering, data labeling, and performance analysis.
  
• Apply advanced statistical methods to large complex data sets to understand impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
• Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable training solutions to emergent workflows.

Experience Level

Mid Level