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.
