Video Content Data Scientist

Our team is looking for a data scientist to help support the Video business teams (including TV+) with insights on content performance, strategy, and customer experience in the TV app. As a key member of our diverse and multifaceted 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 and Engineering daily to deliver material customer and business value. Provide analytics insights to support decision-making for business and creative teams working on Apple’s Video products, including Apple TV+. Inform our understanding of how users find and engage with content and our subscription services. Help define Engineering & BI requirements for new datasets and data products to support new feature and content releases. Collaborate with other data scientists supporting subscription and marketing initiatives to ensure a comprehensive understanding of the Video business. Build machine learning models to predict business outcomes and drive operational decision-making. Work closely with TV+ and Sports leads to advise their roadmap and content strategy. Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 years experience extracting insights from large datasets, specifically employing programming languages like Python and SQL. 4 years experience employing statistical methods to tackle business problems related to classification, segmentation, and forecasting. Demonstrated ability to apply data science techniques to find answers to ambiguous real-world questions in a changing environment and communicate them to stakeholders. Comfort working cross-functionally across multiple teams, including both technical and non-technical partners. Strong interpersonal and communication skills. Experience in media or entertainment industry. Passion for film, television, and/or Sports domains. Hands-on experience with app-based engagement and clickstream data. Experience with distributed computing frameworks like Spark.

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