Senior Data Scientist, Feed Relevance

Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their communities and build a lasting business including: paid memberships, free memberships, community chats, live experiences, and selling to fans directly with one-time purchases.

Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:

- $8 billion+ in revenue generated since Patreon's inception

- 60 million+ free new memberships for fans who may not be ready to pay just yet, and

- 10 million+ fans paying each month for exclusive access to creators' work and community.

We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Data Scientist to support our mission.

This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model.

About the Team

The Relevance team owns feed ranking and recommendations across Patreon's core surfaces — Home Feed, Membership Feed, Post Page Recommendations, and Niches. We're building the systems that decide what content fans see and in what order, with the goal of making every fan's experience on Patreon feel personally relevant. Our cross-functional pod includes ML Engineers, Product Managers, Backend Engineers, Client Engineers, and Data Scientists working together to improve content discovery, deepen fan engagement, and drive creator monetization. We're at an exciting inflection point: our ranking and recommendation systems are being built largely from scratch, which means you'll have outsized influence on the technical direction and measurement frameworks that shape how millions of fans discover creators.

About the Role

- You'll own the analytics foundation for Patreon's feed — building and maintaining the trustworthy metrics infrastructure that powe...