Data Scientist, Media Revenue and Subscriptions

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.\\n\\n

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.\n

5+ years experience extracting insights from large datasets, specifically employing programming languages like Python and SQL.\nDemonstrated ability to apply data science techniques to find answers to ambiguous real-world questions in a changing environment and communicate them to stakeholders.\nExcellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams.\nComfort working cross-functionally across multiple teams, including both technical and non-technical partners.\nCreate and deliver presentations to business stakeholders including senior executives. \nBachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field.

Experience in and/or passion for the media and entertainment industry.\nExperience analyzing the performance of subscription businesses and familiarity with subscription lifecycle metrics. \nMasters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.