Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data management, metrics analysis, experiment design and automation.
  
• Experience with classification systems, ranking systems, or similar.
  

Preferred qualifications:

• Experience translating investigative insights into business strategies and actions.
  
• Experience creating opportunities to innovate, conceptualize, and complete while working with global teams.
  
• Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining, and data analysis.
  

About the job

As an Engagement Abuse Analyst, you will be a key contributor to the strategy for reducing network badness on YouTube. You will require on-call work at weekends on a rotational basis. You will also be exposed to graphic, controversial, and sometimes offensive video content during team escalations in line with YouTube's Community Guidelines.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Responsibilities

• Apply advanced statistical methods to large complex data sets to understand 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. Communicate highly technical results and methods clearly.
• Maintain, foster, and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce scalable 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.
• Apply and develop machine learning models to detect and prevent various types of abuse on YouTube.