Subscriptions & Commerce Data Scientist

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.

Description

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.

","responsibilities":"Design and build datasets, reports, and dashboards to monitor commerce platform performance at scale.

Conduct ad-hoc analyses to support major business initiatives within services.

Communicate insights and recommendations to Marketing, Business, Finance, Product, and Executive stakeholders to help inform future ecosystem iterations and strategy.

Preferred Qualifications

Quantitative expertise in understanding the economics of subscription businesses.

Experience in a digital subscription or large-scale e-commerce business.