Engagement Abuse Analyst, Trust and Safety

6 Months ago • 4 Years + • Data Analyst

Job Summary

Job Description

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. Your responsibilities will include applying advanced statistical methods to large complex data sets to understand the impact of abuse to the YouTube ecosystem, contributing to the strategy and development of new workflows against additional known vectors of abuse, learning complex and technical concepts and systems and delivering meaningful results using them, communicating highly technical results and methods clearly, maintaining, fostering, and promoting quality by providing regular feedback metrics to the Global team, managing technological solutions for streamlining quality assurance and producing scalable training solutions to emergent workflows, performing fraud and spam investigations using various data sources, identifying product vulnerabilities and driving anti-abuse experiments to prevent abuse, working with engineers and interacting cross-functionally with stakeholders to improve workflows via process improvements, automation, and anti-abuse system creation, and developing high-quality training materials, creating consensus, and maintaining communication for YouTube Scaled Abuse with business stakeholders.

Must have:

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

Good to have:

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

2 skills required

2 skills required for this role

Add these skills to join the top 1% applicants for this job

data-analytics

quality-control

Job Details

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

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.
Develop high quality training materials, create consensus, and maintain communication for YouTube Scaled Abuse with business stakeholders.