No Commute

Email is unlike any other medium in the world. With just an address, anyone can talk to anyone , no matter their location, status, or class. It’s democratized access, it’s a sacred privilege, and it’s worth protecting at all costs. Resend is building the most accessible email platform for developers. As we’ve grown to over 15K customers and continue to onboard thousands of new users every day, the pressure of maintaining a safe place for good senders continues to build up. 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 ab