Scaled Abuse Analyst, Trust and Safety, YouTube

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 in data analytics, Trust and Safety, policy, risk/fraud analytics, or a related field.
• 2 years of experience with SQL, R or Python.

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.

As a Scaled Abuse Analyst, you will have experience with analyzing large-scale data and scaled systems of review. You will thrive in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor to the strategy for reducing network badness on YouTube. You will be an independent, critical thinker with sound metrics judgment who has a passion for coaching others, solving technological challenges and setting scalable standards. You will balance the short term requirements we face while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly. You will require on-call work at weekends on a rotational basis. You will be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.

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 their accuracy in identifying and classifying abusive content and behavior which may include prompt engineering, data labeling, and performance analysis.
• Apply advanced statistical methods to large complex data sets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
• Learn complex and technical concepts and systems and deliver meaningful results using them.
• Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance.