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.
Minimum Qualifications
5+ years of experience as a Data Scientist or Analyst in digital media, subscription, or fintech environments, with a proven track record of business measurement and optimization.
Strong proficiency in SQL and at least one programming language such as Python or R; experienced in building analytical datasets and pipelines using large-scale structured and unstructured data.
Applied expertise in statistics, probability, and experimental techniques including A/B testing, regression, clustering, survival analysis, and causal inference.
Demonstrated project ownership with an ability to condense & communicate complex data into clear, actionable business insights for cross-functional stakeholders.
Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.
Preferred Qualifications
Quantitative expertise in understanding the economics of subscription businesses.
Experience in a digital subscription or large-scale e-commerce business.
Master’s in a quantitative field is a plus, but not required.
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.
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
