Responsibilities
- Facilitate a novel, zero-friction approach to email sending
- Investigate the root-causes of anomalies and gang attacks
- Analyze signal effectiveness: precision, recall, drift, overlap, etc
- Consult with data engineering to shape purpose-built data pipelines
- Deeply understand and stay up to date on email abuse vectors and trends
- Build dashboards and alerts for real-time visibility into behavior and policy violations
- Build machine learning models to prevent abuse at scale with zero false-positive budget
Requirements
- Fluent in SQL and Python
- Completed a relevant scientific or mathematical degree
- Proven ability to productize algorithms for real-time systems
- You thrive in ambiguity and can build frameworks out of thin air
- Great communicator that can explain complicated models to non-data folks
- +2 years of professional experience in relevant role working with massive data sets
Nice to Have
- Javascript is a plus
Work Arrangement
Remote (Worldwide)
Team
Team size: 25. Structure: fully remote team of 25 humans spans 7 countries
