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 this role, you will…

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

Who You Are..

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

Learn more about how we work in Trust and Safety:

https://resend.com/philosophy
Trust & Safety investment blog post
https://resend.com/handbook/success/what-is-our-philosophy-for-anti-abuse
https://resend.com/handbook/engineering/what-is-our-tech-stack

About Resend

We are building the modern email sending platform for developers- we care deeply about quality, creating for everyone and building in the open. What started as an open source project in 2022, now onboard nearly thousands of users every day sending billions of emails.

Our fully remote team of over 25 humans spans 7 countries.. and counting. We’re backed by a16z, Y Combinator, Basecase and other top investors.

Read about how we work, how we hire, and what we value here.

Data Scientist, Trust & Safety

Americas

Remote

Mid-level

Resend