YouTube's Trust and Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. The Scaled Abuse Analyst will be a key contributor to the strategy for reducing network badness on YouTube's business generation program.
Requirements
- SQL and Python
- machine learning systems and prompt engineering
- data management, metrics analysis, experiment design and automation
- classification systems, ranking systems or similar
- statistical modeling
- data mining
- data analysis
Responsibilities
- identifying trends
- generating summary statistics
- drawing insights from quantitative and qualitative data
- managing projects and defining project scope, goals, and deliverables
- machine learning systems and prompt engineering
- data management, metrics analysis, experiment design and automation
- Collect, manage and synthesize large data sets and information from disparate sources, statistical modeling, data mining and data analysis
Other
- 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 managing projects and defining project scope, goals, and deliverables.
- Experience in translating investigative insights into business strategies and actions.
- passionate about identifying abuse patterns and trends within the Youtube Partner Program
- an excellent storyteller that can turn insights into meaningful action for Trust and Safety