Data Scientist, Media Revenue and Subscriptions

Apple • Culver City, CA

4d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees