Original listing text, shown exactly as published by the company.
About the Role
- You'll own the analytics foundation for Patreon's feed — building and maintaining the trustworthy metrics infrastructure that powers dashboards, experiment analysis, ML training data, and leadership reporting.
- You'll design and analyze ranking experiments across Home Feed, Membership Feed, Post Page Recs, and Niches, working closely with ML Engineers to evaluate relevance changes and new ranking signals.
- You'll conduct exploratory analyses to surface data-backed hypotheses about feed health, content mix, engagement patterns, and discovery conversion — and translate those into actionable ranking improvements.
- You'll develop feed health and engagement dashboards with drill-downs by surface, user segment, platform (iOS vs. Android), and feed version.
- You'll be a thought partner to Product and ML Engineering, helping the team prioritize ranking experiments and measure what matters — from scroll depth and CTR to Discovery Attributed TPV.
- You'll contribute to the technical and collaborative direction of the data science team.
What you'll need
- Experience working on a content feed, ranking system, or recommendation platform — including familiarity with retrieval, scoring, and tradeoffs involved in optimizing for multiple objectives.
- Deep expertise in A/B testing on ranking or recommendation changes, with a strong statistical inference foundation.
- Experience building metrics and reporting infrastructure that teams rely on as a source of truth — dashboards, data quality pipelines, and alerting.
- Strong SQL proficiency and experience using Python or R for statistical analysis.
- Experience navigating shifting priorities and systems.
- Experience making tradeoffs between speed and accuracy when analytical direction is unclear.
- Experience working closely with product, ML engineering, and data engineering partners — including translating between technical findings and business priorities.
- Bachelor's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.
