Subscriptions u0026 Commerce Data Scientist

Apple • Cupertino, CA

77d

About The Position

At Apple, our Services help hundreds of millions of people get the most from the devices they love-whether through award-winning shows and movies, music in spatial audio, engaging workouts and meditations, amazing apps, or fun games. The Apple Media Products Data Science & Analytics team is dedicated to uncovering meaningful insights and building data-powered solutions that enhance our services and support business growth-while honoring Apple's deep commitment to user privacy. We are seeking a Subscriptions & Commerce Data Scientist to design, analyze, and optimize on commerce initiatives including offers, billing retry, and other subscription mechanics. You'll play a pivotal role in understanding and improving how customers transact with our services, working with large-scale data in collaboration with partners across Business, Marketing, Product, and Engineering. This is a unique opportunity to influence the future of Services at Apple through innovative, customer-first approaches-and to do it in a supportive, growth-minded environment that values diverse perspectives and inclusive collaboration.

Requirements

• Quantitative expertise in understanding the economics of subscription businesses.
• Experience in a digital subscription or large-scale e-commerce business.

Nice To Haves

• Master's in a quantitative field is a plus, but not required.

Responsibilities

• Collaborate with cross-functional teams (Business, Engineering, Product, Finance, and Marketing) to define key metrics, data requirements, and models for analysis, experimentation, and reporting.
• Investigate large-scale datasets to identify trends, measure impact, and generate insights that improve subscription mechanics.
• Build data products that lead to developer success.
• Apply statistical methods and build predictive models, including LTV and propensity models, to support multiple and often interrelated subscription initiatives.
• Evaluate the incremental impact of subscription initiatives using causal inference and testing methodologies.
• Explore how emerging technologies, such as generative AI, can be applied to create business value.
• Partner with teams across Apple to support responsible data collection, governance, and access.

What This Job Offers

• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees