About the role

Data Scientist converting user engagement data into actionable insights at a fast-growing entertainment company. Building predictive models and improving personalized content discovery for millions.

Responsibilities

As our Data Scientist, you'll turn user engagement and behavior data into insights and models that power personalized discovery for millions of members.
You'll work with focused depth—protected from constant priority shifts so you can deliver high-velocity, high-impact work on recommendation systems, data foundations, and the metrics that drive our strategy.
Decode user behavior at scale — analyze engagement and behavior data to understand how members discover, engage with, and respond to content across our streaming platform.
Build and train intelligent models — develop predictive models to power recommendations, personalization, and content discovery.
Create scalable data foundations — design and build dbt models that feed analytics tools like Rill and GrowthBook, making data accessible and actionable for the entire organization.
Pave the path to smarter recommendations — architect and prototype approaches for future recommendation algorithms that help members find the content they'll love.
Establish trust through metrics — define, refine, and communicate the metrics that matter, building stakeholder confidence in how we measure success and partnering with engineers and product teams to determine exactly what data we need.

6+ years as a data scientist, machine learning engineer, or similar analytical role, with preference for experience in streaming, entertainment, or content discovery domains
Proven track record of building and deploying machine learning models in production, ideally including recommendation systems or personalization algorithms
Strong foundation in statistical analysis, data modeling, and working with large-scale user engagement and behavior data
Exceptional ability to communicate insights effectively to both technical and non-technical stakeholders
Familiarity with modern data tools such as dbt, data warehousing, experimentation platforms (GrowthBook, Optimizely), or BI tools (Rill, Looker)
Domain knowledge in user engagement metrics, retention analysis, or content performance measurement is a plus

High-Growth Company: Angel is one of the fastest-growing media companies, with record-breaking independent theatrical releases and millions of streaming users worldwide.
Massive Impact: Your work will shape how audiences experience the stories they love—and help amplify light around the globe.
Extreme Ownership: We are a team of owners and entrepreneurs. This is your chance to operate like a startup founder inside a fast-scaling media company.
Mission-Driven Culture: We strive to amplify light in everything we do. Join a team that deeply cares about the impact of the stories we tell.
Future of Streaming: Help build a streaming platform that competes with giants—without playing by their rules.