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Senior Product Data Scientist, Media Services

Apple· Services Product Data Science & Analytics
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Hybrid (Cupertino, CA), Hybrid (Culver City, CA)$184.7k - $324.8kFull-timePosted 1mo ago

About the role

Senior Data Scientist responsible for data-driven strategy and scalable ML and experimentation solutions for Apple Media Services (e.g., Apple Music, Apple TV, Podcasts, Fitness+). Collaborates across Business, Marketing, Product, Content, and Engineering to deliver customer and business value while maintaining strong customer privacy.

Responsibilities

  • Own and drive the data science strategy for product, business, and creative teams working on Apple's Services
  • Lead understanding of how users discover and engage with content and subscription services, translating complex findings into actionable recommendations
  • Architect and scale experimentation frameworks to drive org-wide testing velocity, including design, measurement, and interpretation of A/B tests and observational studies
  • Apply advanced ML causal inference techniques including synthetic control, metalearning, and counterfactual modeling to measure product impact in non-randomized settings
  • Develop ML models for customer scoring, segmentation, and lifetime value estimation to drive growth and acquisition strategy
  • Leverage LLMs and GenAI tools to develop innovative solutions to content and customer experience challenges, augmenting data science workflows at scale
  • Lead the definition and prioritization of data infrastructure and tooling roadmap, defining engineering and business intelligence requirements for new datasets and data products
  • Set technical direction and mentor data scientists across the organization, enriching team output and fostering a culture of technical rigor
  • Work closely with business sponsors to lead and advise their roadmap and product strategy, influencing cross-functional priorities at a senior level

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

Skills

Required:PythonSQLStatistical methodsExperimental designCausal inference

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • tuition reimbursement for eligible education
  • discretionary bonuses or commission payments and relocation eligibility
  • employee stock programs and stock purchase plan
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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