Apply your expertise in quantitative business analysis, data mining, and the presentation of data to identify trends and opportunities in driving down spam and other nefarious behavior
Analyze and interpret data in order to devise hypotheses on how spam and other nefarious activity is proliferating
Implement effective countermeasures to eliminate spam based on these identified patterns
Requires contributing to Facebook’s anti-abuse codebase in Haskell.
Be a thought leader for data-informed initiatives and guide the team’s direction overall
Partner with Data Science, Product, Engineering and Operations teams to solve problems at scale
4+ years experience doing quantitative analysis.
BA/BS in Computer Science, Math/Finance, Physics, Applied Economics, Statistics or other technical field. Advanced degrees.
Experience in adversarial space like fraud and spam.
Experience with data sets and familiarity with SQL.
Development experience in Haskell.
This job board is currently inactive.
Please contact us if you have any questions.