<p>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 u0026 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.</p> <p>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.Provide data-driven insights to support decision-making across product, business, and creative teams focused on Apple Services.</p> <p>Inform our understanding of how users discover and engage with content and subscription offerings.</p> <p>Define engineering and business intelligence requirements for new datasets and data products to enable product feature and content launches.</p> <p>Collaborate with the broader data science organization on cross-functional initiatives to ensure a comprehensive view of the business and enhance our work with machine learning insights.</p> <p>Design, implement, and evaluate A/B tests and experiments to continuously improve the product experience.</p> <p>Develop and deploy machine learning models to predict business outcomes and drive operational strategies.</p> <p>Partner with business stakeholders to shape and guide roadmaps, influence priorities, and support product strategy with data.Hands-on experience with app-based engagement and clickstream data. Experience with advance causal inference methods. Experience with distributed computing frameworks like Spark. Experience in using AI to augment data science workflows. Experience in media or entertainment industry. Passion for film, television, and/or music domains.Array</p>