Video Content Data Scientist
Apple - Culver City, United States of America
Posted Apr 30, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- 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
Video Content Data Scientist Culver City, United States of America Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. Our team is looking for a data scientist to help support the Video business teams (including TV+) with insights on content performance, strategy, and customer experience in the TV app. As a key member of our diverse and multifaceted organization, we have the rare and exciting opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. We work collaboratively with partners across Business, Marketing, Product and Engineering daily to deliver material customer and business value. Provide analytics insights to support decision-making for business and creative teams working on Apple's Video products, including Apple TV+. Inform our understanding of how users find and engage with content and our subscription services. Help define Engineering & BI requirements for new datasets and data products to support new feature and content releases. Collaborate with other data scientists supporting subscription and marketing initiatives to ensure a comprehensive understanding of the Video business. Build machine learning models to predict business outcomes
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