Senior Product Data Scientist, Media Services

Role Number:
Team:
Machine Learning and AI, Software and Services

Location:

Culver City;
Cupertino Weekly

Hours:

40

Posted:
Summary 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 product ionizing 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

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 $184,700 and $324,800, 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…