We are looking for a Scaled Abuse Analyst to join our team
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 3 years of experience in data analysis using SQL to identify trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 3 years of experience managing projects and defining project scope, goals, and deliverables.
Preferred qualifications:
- Master’s degree.
- 5 years of experience with one or more of the following languages: SQL, R, Python, or C++.
- 5 years of experience with machine learning systems.
- Excellent written and verbal communication skills.
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, 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.
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