Data Scientist, Trust & Safety

Fluent in SQL and Python (Javascript is a plus) Completed a relevant scientific or mathematical degree Proven ability to productize algorithms for real-time systems 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

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