Engineering Analyst, Trust and Safety, AdSpam

• Apply advanced statistical methods to large complex data sets to analyze impact of abuse on the Video ads 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 Video ads.
• Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays. This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or 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++.
• 2 years of experience with machine learning systems.
• Excellent written and verbal communication skills.

• 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.