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Scaled Abuse Analyst, Trust and Safety, YouTube

Google
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HyderabadFull-timePosted 3d ago

About the role

Scaled Abuse Analyst position within YouTube’s Trust & Safety team, focused on analyzing large-scale data, conducting fraud and abuse investigations, and developing scalable anti-abuse workflows and LLM prompt engineering to identify and mitigate abuse across YouTube.

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.

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.

Skills

Required:Data analysisData analyticsSQL, R or Python
Last updated Oct 23, 2026. Interested? Apply on the company site.

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