Machine Learning Scientist 4 - Subscription Forecasting
Netflix - USA - Remote
Posted Apr 8, 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
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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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
Machine Learning Scientist 4 - Subscription Forecasting USA - Remote 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. The Team Netflix's ability to invest in the content that entertains hundreds of millions of members - billions of dollars each year across film, series, games, and live experiences - depends on getting subscription pricing right and having a clear view of where the business is headed. The Subscription Revenue DSE team brings measurement and modeling to both challenges. We are a small, focused group of data practitioners who work across pricing research and business forecasting. This role will focus on the forecasting work, where we partner with Finance & Strategy, Content, and Revenue Analytics teams to build the models that project Netflix's subscriber growth, engagement, and revenue across global markets over multi-year horizons. Our forecasts serve as a foundation for long-range planning across the company. The Role You will work closely with senior researchers and the team's existing data science foundation to improve the models that forecast Netflix's subscription trajectory and the expected impact of pricing decisions. The core challenge: subscription markets are noisy, global, and deeply interconnected. Understanding how the business will develop - and how pricing actions will
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