Data Scientist, Trust & Safety - Remote

Overview

As the first Data Scientist on our Trust & Safety squad, you will wear many investigative hats— identifying abuse patterns, designing purpose-built data sets, and developing models that prevent harmful users and enable good senders and scale.

In Short

• 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 (Javascript is a plus)
• 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

Benefits

• Fully remote team of over 25 humans spanning 7 countries
• Backed by top investors including a16z and Y Combinator
• Opportunity to work on a modern email sending platform for developers
• Focus on quality and creating for everyone
• Engaging in an open-source project that evolves with user feedback