Senior Data Scientist, Feed Relevance
Patreon - New York, New York City, United States, San Francisco
Posted Mar 25, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Data Scientist, Feed Relevance New York, New York City, United States, San Francisco 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,
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