Scaled Abuse Analyst Manager

Key Skills

Data Analysis, Data Engineering, Data science techniques, Effective communication skills, Machine learning techniques, Operations

Job Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related field or equivalent practical experience.
• 8 years of experience collecting, managing, and synthesizing data sets and information from disparate sources, statistical modeling, data mining, and data analysis.

Preferred qualifications:

• Experience in consultative problem solving and project management coupled with strengths in data management, metrics analysis, experiment design and automation.
• Experience creating opportunities to innovate, when working in complex international and multi-functional teams.
• Experience in managing partnerships with Engineering, Product, and Operations teams.
• Knowledge of high-level products and policy.
• Knowledge of Machine Learning.
• Ability to understand and design training roadmaps and communicate and persuade between multiple levels.

About the job

Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to belong, 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 & 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 Detection Analyst Manager in YouTube Trust and Safety, you will manage a team of detection analysts, who work alongside the detection engineering and operations teams to identify and remove abusive content such as videos, livestreams, and abusive users as quickly as possible. You will identify and utilize content, account, and behavioral signals and features to develop robust and practical solutions using heuristics, clustering, classification, and large learning models. You will also leverage advanced analytics to drive insights on the effectiveness of our abuse detection methods, and develop strategies to efficiently reduce uncaught badness across all the verticals.

In this role, you will rely on the leadership skills, management experience and technical expertise to lead the team to improve user experience on YouTube, especially as it relates to abuse. You will lead the team of analysts to become technically strong, strategically minded, great at communication, and care of the YouTube team and YouTube users. Working with the operational leaders as well as policy area leaders, you will deliver insights on Trust and Safety operations to inform operational efficiency, new product strategies and new policy development.

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

• Manage a team of YouTube Detection Analysts focused on reducing uncaught events on YouTube.
• Set strategy and goals and lead the Analyst team to cover a wide variety of spam and abuse vectors across YouTube community engagements.
• Drive and utilize data insights for YouTube Trust and Safety globally to ensure fast identification and removal of single or scaled occurrence of inappropriate content and abusive actors to keep YouTube safe for our users.
• Communicate clearly to a variety of cross-functional partners including leadership, engineers, operations specialists about the state of abuse, drive agreement on prioritization and trade-offs.
• Partner closely with the Leadership, Policy, Enforcement, Data Science, and Engineering teams to understand the ever-changing policy enforcement landscape and implement best suited solutions, as well as to develop and test new features that address operational needs.