Reduce network badness on YouTube by analyzing data and scaled systems of review, and contributing to the strategy for abuse reduction.
Requirements
- 5 years of experience in collecting, managing, and synthesizing data sets and information, statistical modeling, data mining, and data analysis.
- 5 years of experience in managing projects and defining project scope, goals, and deliverables.
- 5 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of work experience with a Master's degree.
- Experience in applying adversarial ML research.
Responsibilities
- Apply advanced statistical methods to 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 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 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.
Other
- Bachelor's degree in Computer Science, Mathematics, a related field or equivalent practical experience.
- Maintain and promote quality by providing regular feedback metrics to the Global team.
- Develop training materials, create consensus and maintain communication for YouTube Scaled Abuse with business stakeholders.
- On-call work at weekends on a rotational basis.
- Exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube’s Community Guidelines.
