About the job

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 & 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 an Engineering Analyst, you are passionate about technologies and have experience with analyzing data and scaled systems of review. You will grow in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor, independent, critical thinker with sound metrics judgment who has a passion for solving technological challenges and setting scalable standards.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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 using SQL and Python to analyze large, complex datasets to identify abuse trends, develop signals, and provide data-driven recommendations for the YouTube ecosystem.

• Collaborate with Engineering, Product, Policy and Vendor teams to create and enhance anti-abuse tools, improve system accuracy; leverage data pipelines to drive automation opportunities.

• Investigate vulnerabilities through deep-dive analysis, contribute to developing new workflows against emerging abuse vectors, and design and maintain high-impact, leadership-level dashboards that translate complex anti-abuse metrics into strategic narratives for executive stakeholders.

• Drive complex projects through the full life-cycle, partnering with stakeholders in engineering, policy and vendor operations to drive solutions.

• Manage project schedules, respond to internal/external escalations within Service Level Agreement (SLAs), and participate in an on-call rotation.

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

• Master's degree in a quantitative discipline.

• 2 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++.

• Experience in data analysis, including identifying trends, generating summary statistics, and drawing actionable insights from both quantitative and qualitative data.

• Experience in identifying and mitigating fraud and abuse dynamics within online platforms.

• Proficiency in SQL (e.g., BigQuery, MySQL) and Python for data manipulation and analysis along with experience with prompt optimization to tune Large Language Model (LLM)-based models, specifically optimizing for statistical metrics such as precision and recall.