Engineering Analyst, Trust and Safety Monetization

• 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. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation. 
• Drive full lifecycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
• Work collaboratively with team mates 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.
  
• 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.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• Knowledge of one or more of the following areas: statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI.

• Bachelor's degree 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.