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Data Scientist 5, Experimentation Platform

Netflix - USA - Remote | New York,New York,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America

Posted Feb 19, 2026

Benefits

Parental leave
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Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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About this role

Data Scientist 5, Experimentation Platform USA - Remote | New York,New York,United States of America | Los Angeles,California,United States of America | Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. A culture of experimentation enables Netflix to continuously evolve and improve our products, delivering more joy to existing members and attracting new members from around the globe. Because experimentation is so pervasive at Netflix, we continually enable new capabilities and onboard new initiatives to the platform with close cross-functional collaboration with our Data Science partners. At the nerve center of experimentation at Netflix is our internal, Netflix-wide, Experimentation Platform, responsible for democratizing trustworthy experiments across the company and enabling new capabilities across the company. We are looking to expand the number of full-stack data science faculty on the team to better support experimentation best-practice and drive further innovation in data science tooling. Responsibilities: Work closely with data science and engineering stakeholders to act as a strategic thought partner and onboard new workflows. Design, build, operate, and maintain mathematics and engineering implementations of methodologies employed by the experimentation platform, as well as facilitating data science partner contributions. Maintain existing inference related data and analysis pipelines,

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