Responsibilities

• Apply advanced statistical methods to large complex data sets to analyze 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.
  
• Conduct complex 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 directly with Product, Engineering, and Trust and Safety teams to prevent abuse by changing policies and closing product loopholes.
  
  
  

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  
• 1 year of experience managing projects and defining project scope, goals, and deliverables.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• 1 year of experience with one or more of the following languages: SQL, R, Python, or C++.
  
• 1 year of experience with machine learning systems.
  
• Excellent written and verbal communication skills.
  
• Excellent problem-solving skills with attention to detail in an ever-changing environment.