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 Product 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.
Description
Our team is looking for a Senior Data Scientist to own and drive data-driven strategy and deliver scalable ML and experimentation solutions for Apple Media Services like Apple Music, Apple TV, Podcasts, Fitness+, and more. As a key member of our diverse and multi-faceted organization, you will 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. You will work collaboratively with partners across Business, Marketing, Product, Content, and Engineering daily to deliver material customer and business value.
Minimum Qualifications
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
7+ years experience extracting insights from large datasets, employing programming languages including Python and SQL
7+ years experience employing statistical methods to tackle business problems related to classification, segmentation, forecasting, and customer lifetime value
Demonstrated experience architecting and scaling experimentation platforms, including hypothesis testing, metric tracking, and experimentation strategy
Strong expertise in causal inference methods including synthetic control, diff-in-diff, propensity score matching, and regression discontinuity design
Proven track record of building and deploying ML models that directly drive business decisions and product outcomes
Demonstrated ability to set technical direction and influence cross-functional roadmaps at a senior level
Strong interpersonal and communication skills with ability to translate complex technical concepts for non-technical stakeholders
Preferred Qualifications
Master's or PhD in a quantitative field
Experience productionizing ML models in collaboration with engineering teams
Experience with LLMs and GenAI applications in a production or customer-facing context
Experience with distributed computing frameworks like Spark
Experience in media or entertainment industry
Passion for film, television, and/or music domains
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 71419f3a431d4793ed9837708d2bc7f8
- Posted 30+ days ago
