Data Scientist, Media Revenue and Subscriptions

Data Scientist, Media Revenue and Subscriptions

Culver City, California, United States | Software and Services

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.

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.

• Conduct deep dives on large‑scale datasets to identify key drivers of business health metrics such as user acquisition, conversion, retention, and engagement.
• Generate insights and make data‑driven recommendations that support decision‑making and help optimize overall business performance.
• Measure the impact of initiatives for Apple’s media subscription businesses by analyzing initiatives spanning user experience improvements, promotional offers, business development partnerships, and more.
• Conduct causal inference analysis and analyze the results of A/B tests in order to assess the incrementality of business initiatives.
• Partner with Business Intelligence to define metrics, automate recurring reporting deliverables, and create self‑service dashboards for key business stakeholders.
• Help define engineering, instrumentation, and BI requirements for new datasets and data products to support new feature releases.

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

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

At Apple, base pay is one part of our total compensation package and is determined within a range. The base pay range for this role is between $163,300 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can…