
Scaled Abuse Analyst, Trust and Safety, YouTube
- Hyderabad, Telangana
- Permanent
- Full-time
- 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 in managing projects and defining project scope, goals, and deliverables.
- 1 year of experience with SQL, R, Python, or C++.
- Experience in data management, metrics analysis, experiment design and automation.
- Experience with classification systems, ranking systems, LLMs, Artificial Intelligence (AI) agents.
- Experience in creating opportunities to conceptualize and complete while working with global teams.
- Experience in collecting, managing and synthesizing datasets and information from disparate sources, statistical modeling, data mining and data analysis.
- Experience in translating investigative insights into business strategies and actions.
- Apply advanced statistical methods to datasets to understand the impact of abuse to the YouTube ecosystem. Develop new workflows against known vectors of abuse.
- Learn technical concepts and systems and deliver results using them. Communicate technical results and methods. Manage technological solutions for streamlining quality assurance and produce training solutions to emergent workflows.
- Perform fraud and spam investigations using multiple 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 by process improvements, automation and anti-abuse system creation.
- Develop quality training materials, create consensus and maintain communication for YouTube Scaled Abuse with business stakeholders.
- Design and refine prompts for Large Language Model (LLMs) to improve their accuracy in identifying and classifying abusive content and behavior.