The business problem is to identify and prevent abuse on the ads video ecosystem at Google, by analyzing large data sets and driving anti-abuse experiments.
Requirements
Experience with SQL.
Experience with fraud and risk management.
Experience in data management, metrics analysis, experiment design and automation.
Experience with classification systems, ranking systems or similar.
Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience with advanced statistical methods
Responsibilities
Apply advanced statistical methods to large data sets to analyze the impact of abuse on the ads video ecosystem.
Perform fraud and spam investigations using various data sources, identify product vulnerabilities and drive anti-abuse experiments to prevent abuse.
Work with engineers and stakeholders to improve workflows via process improvements, automation and anti-abuse system creation.
Manage or assist in conducting post mortems and incident reviews to capture lessons-learned and needed improvements to existing policy or enforcement processes, and ensure follow-up and closure for any action items identified.
Perform on-call responsibilities on a rotating basis.
Analyze billions of events and create methods to reduce harm.
Dive into advanced data analysis techniques to prevent fraud and abuse.
Other
Bachelor's degree or equivalent practical experience.
Excellent written/verbal communication, and people management skills to communicate technical concepts with cross-regional and cross-functional stakeholders at all levels.
Master's degree in a quantitative field.
Ability to work with sensitive content or situations, and may be exposed to graphic, controversial or upsetting topics or content.
Ability to work globally and cross-functionally with Google engineers and product managers
