Senior Product Data Scientist, Media Services

2 Months ago • All levels • $163,300 PA - $290,100 PA
Data Analysis

Job Description

Services at Apple aims to enhance customer experience with apps, award-winning shows, movies, spatial audio music, workouts, meditations, and games. The Services Products Data Science & Analytics team focuses on delivering insights and machine learning solutions to improve services and drive growth while prioritizing customer privacy. This role will support product and business teams with data-driven solutions for content performance, strategy, and customer experience in apps. The team works with large, rich datasets, requiring innovative approaches and collaboration with Business, Marketing, Product, Content, and Engineering partners to deliver significant customer and business value.
Good To Have:
  • Machine learning expertise
  • Innovative approaches to data analysis
Must Have:
  • Develop data-driven solutions for insights
  • Analyze content performance and customer experience
  • Collaborate with cross-functional teams
  • Work with large and rich datasets
  • Prioritize customer privacy

Add these skills to join the top 1% applicants for this job

data-science
machine-learning

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 Services Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. Our team is looking for a Data Scientist to help support the product and business teams with data-driven solutions for insights on content performance, strategy, and customer experience in our apps. As a key member of our diverse and multi-faceted organization, we have the rare and exciting opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. We work collaboratively with partners across Business, Marketing, Product, Content, and Engineering daily to deliver material customer and business value.

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