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The Trust and Safety Ad Traffic Quality team at Google is looking to solve the problem of invalid traffic in the ads ecosystem by analyzing events and creating scalable methods to stop fraudsters, thereby protecting Google's users and ensuring online safety.

Requirements

• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• Experience in digital advertising industry in a technical role.
• Experience in data management, metrics analysis, experiment design and automation.
• Experience with fraud and risk management or statistical and quantitative modeling.

Responsibilities

• Apply advanced statistical methods to data sets to analyze the impact of abuse on the Mobile ads ecosystem.
• Perform fraud and spam investigations using various data sources, identify product vulnerabilities, and drive anti-abuse experiments.
• Work with engineers and stakeholders to improve workflows via process improvements, automation, and anti-abuse system creation.
• Conduct fraud investigations using data and identify gaps in current defenses, explore/experiment with new signals and develop solutions for scalable enforcement on non-compliant publisher inventory with a focus on Android.
• Work with Product, Engineering, and Trust and Safety teams to prevent abuse by changing policies and closing product loopholes.

Other

• Bachelor's degree or equivalent practical experience.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
• Excellent written and verbal communication skills to communicate technical concepts with cross-regional and cross-functional stakeholders at all levels.
• Ability to work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and manage abuse and fraud cases.