Responsibilities
- Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
- Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
- Drive full life cycle projects across Product, Engineering, and Trust & Safety (T&S) teams to prevent abuse by improving policies and closing product vulnerabilities.
- Work collaboratively with teammates around the globe and deliver projects from beginning to end in a timely manner.
- Be able to review or be exposed to sensitive content.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- Experience with SQL for technical audits and data analysis.
- Experience in data analytics and scripting in Python.
Preferred qualifications:
- 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.
- Experience applying ML/AI in industry setting.
- Ability to communicate technical concepts to cross-regional and cross-functional stakeholders at all levels.
- Ability to apply critical thinking and problem-solving skills with attention to detail in an ever-changing environment.