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 build 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 spanning 7 countries
• Backed by top investors including a16z and Y Combinator
• Focus on quality and open-source development