Data Scientist driving feed relevance and recommendations for creator engagement at Patreon. Collaborating cross-functionally to enhance metrics and content discovery.
Responsibilities
Own the analytics foundation for Patreon's feed by building and maintaining metrics infrastructure.
Design and analyze ranking experiments across various feeds with ML Engineers.
Conduct exploratory analyses to develop data-backed hypotheses about feed health and engagement.
Develop dashboards for feed health and engagement metrics with user segment breakdowns.
Partner with Product and ML Engineering to prioritize ranking experiments and measure performance.
Lead culturally and technically within the data science team.
Requirements
Bachelor's degree in Statistics, Economics, Engineering, Mathematics, or equivalent practical experience.
Experience working on a content feed, ranking system, or recommendation platform.
Expertise in experimentation, especially A/B testing on ranking or recommendation changes.
Experience building metrics and reporting infrastructure (dashboards, data quality pipelines, alerting).
Strong analytical thinking to investigate cross-platform inconsistencies and data quality issues.
Ability to make tradeoffs between speed and accuracy in fast-moving, ambiguous environments.
SQL proficiency and experience in Python or R for statistical analyses.
Proven ability to build relationships with product, ML engineering, and data engineering teammates.
Growth mindset for continuous improvement of soft and technical skills.
Excellent communication skills for clarity and simplicity.
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