Data Scientist, Media Revenue and Subscriptions

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• 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

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

83% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

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

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Where they hire

State eligibility is not yet verified.

About this role

Data Scientist, Media Revenue and Subscriptions 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 Services Data Science & Analytics organization is passionate about developing discerning insights and solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. Apple TV and Apple Music are two of the most widely used subscription services in the world, shaping how hundreds of millions of people watch, listen, and discover content every day. We are looking for a data scientist to join the Revenue and Subscriptions Data Science team and help grow and optimize these businesses through rigorous analysis and scalable analytic solutions. In this role, you will work across the full subscription lifecycle - acquisition, conversion, retention, and engagement - to size opportunities, measure the impact of initiatives, and make data-driven recommendations that shape business strategy. As a key member of our diverse and dynamic organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. You'll work collaboratively with partners across Business, Marketing, Product, and Engineering daily to deliver material customer and business value. Conduct deep dives on large-scale datasets to identify key drivers of business health metrics such as

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