Scaled Abuse Analyst, YouTube Trust and Safety

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.
• Apply advanced statistical methods to data sets to understand the impact of abuse to the YouTube ecosystem. Contribute strategy and development of new workflows against additional known vectors of abuse.
• Learn technical concepts and systems and deliver results using them. Communicate technical results and methods.
• Maintain, foster and promote quality by providing regular feedback metrics to the Global team. Manage technological solutions for streamlining quality assurance and produce training solutions to emergent workflows.

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, a related field, 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.
• Experience managing partnerships with Engineering, Product, and Operations teams.

Preferred qualifications:

• Experience collecting, managing and synthesizing data sets and information from sources, statistical modeling, data mining and data analysis.
• Experience in data management, metrics analysis, experiment design and automation.
• Experience creating opportunities to innovate, conceptualize and complete while working with global teams.
• Experience translating problem-solving insights into business strategies.