App Store Data Scientist
Apple - Cupertino, United States of America
Posted Apr 3, 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
- Not verified
- 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
App Store Data Scientist Cupertino, United States of America At Apple, we have phenomenal ideas that have a way of becoming great products, services, and customer experiences! We are seeking a Revenue and Subscriptions Data Scientist to join a team passionate about Data Science & Analytics for Apple Services to support transaction and subscription businesses across App Store, Apple Music, Apple TV+, Apple Arcade, Apple One, and other services! You will play a key role understanding and optimizing the businesses under Apple Services as a part of the Revenue and Subscriptions Data Science team. As a member of this team, you will help us to grow the financial, transaction, and subscription health of our businesses by sizing, measuring, and recommending impactful initiatives. Responsibilities will include understanding the impact across in-app purchases, subscription renewals, payment authorizations, transaction efficiencies across multiple lines of businesses. As a data scientist on the Revenue and Subscriptions Data Science team, you'll establish, enhance, and socialize top line and operational metrics that accurately represent the business state of health; craft deep dives in large-scale data to identify key insights that inform product improvements and business strategy; and develop, improve, and execute on experimental measurement plans for new subscriptions and commerce products and features. As a part of this team, you will employ sophisticated analytic tools such as A/B testing and causal modeling to accurately understand the effect of multiple and often interrelated initiatives; build and maintain positive relationships with key partners across the company to successfully deliver
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