Scaled Abuse Analyst, YouTube Trust and Safety

ConfidentialHyderabad / Secunderabad, Telangana, India

5 days ago

Job description

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.

Preferred qualifications :

Experience in collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis.

Experience in metrics analysis, experiment design and automation.

Experience in translating investigative insights into business strategies and actions.

Experience creating opportunities to innovate, conceptualize and complete while working with global teams.

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 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.

In this role, you are passionate about cutting-edge technologies and have experience with analyzing large-scale data and scaled systems of review. You thrive in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor to the strategy for reducing network badness on YouTube. You are an independent, critical thinker with sound metrics judgment who has a passion for coaching others, solving technological challenges and setting scalable standards. You can balance the short term requirements we face while demonstrating the ability to see the big picture and make quantitatively based long-term recommendations accordingly.

This role may require on-call work at weekends on a rotational basis. This role may 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

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.

Design and refine prompts for LLMs to improve their accuracy in identifying and classifying abusive content and behavior. This includes prompt engineering, data labeling, and performance analysis.

Apply advanced statistical methods to large complex data sets to understand the impact of abuse to the YouTube ecosystem.

Learn complex 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Skills Required

Data Analysis, Metrics Analysis, Data Mining, Statistical Modeling, Automation, Performance Analysis

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Scaled Abuse Analyst • Hyderabad / Secunderabad, Telangana, India