Video Content Data Scientist Job at Apple in Culver City

Video Content Data Scientist Culver City, California, United States Machine Learning and AI 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 Media 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 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 outstanding magnitude, richness, and dedication to customer privacy that will frequently require innovative ways. We work collaboratively with partners across Business, Marketing, Product and Engineering daily to deliver material customer and business value. Description Provide analytics insights to support decision-making for business and creative teams working on Apple’s Video products, including Apple TV+. Advise 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. Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 2 years experience extracting insights from large datasets, specifically employing programming languages like Python and SQL. 2 years experience employing statistical methods to tackle business problems related to classification, segmentation, and forecasting. Proven 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. Key Qualifications Preferred Qualifications 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. Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $129,600 and $236,300, 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 purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. #J-18808-Ljbffr