Scaled Abuse Detection Analyst, YouTube Trust and Safety

Scaled Abuse Detection Analyst, YouTube Trust And Safety

Fast-paced, dynamic, and proactive, 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. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust and Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.

As a Scaled Abuse Analyst for YouTube Trust and Safety, you will be passionate about identifying abuse patterns and trends within the Youtube Partner Program, and have experience analyzing large scale data and working with scaled systems. You will be an excellent storyteller that can turn insights into meaningful action for Trust and Safety. You will be a key contributor to the strategy for reducing network badness on YouTube's business generation program. You will grow in a fast, dynamic, demanding environment where no two days are ever the same. You will be a critical thinker with sound metrics judgment and who has a passion for coaching others, solving technological issues and setting scalable standards. You will be able to balance the short term requirements we face while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly.

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.

Minimum 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 managing projects and defining project scope, goals, and deliverables.
• 2 years of experience with one or more of the following languages: SQL and Python.

Preferred Qualifications:

• 2 years of experience with machine learning systems and prompt engineering.
• Experience in data management, metrics analysis, experiment design and automation.
• Experience with classification systems, ranking systems or similar.
• Experience in translating investigative insights into business strategies and actions.

Responsibilities:

• Create opportunities to innovate, conceptualize and complete while working with global teams.
• Collect, manage and synthesize large data sets and information from disparate sources, statistical modeling, data mining and data analysis.