Senior Product Data Scientist, Media Services

What you'll do

• Drive data science strategy for product, business, and creative teams across Apple Services.
• Analyze user discovery and engagement patterns to provide actionable recommendations for content and subscription services.
• Architect and scale experimentation frameworks including A/B tests and observational studies to increase testing velocity.
• Apply advanced ML causal inference techniques like synthetic control and counterfactual modeling to measure product impact.
• Develop ML models for customer scoring, segmentation, and lifetime value estimation to drive growth.
• Utilize LLMs and GenAI tools to solve content challenges and automate data science workflows.
• Define and prioritize the roadmap for data infrastructure and business intelligence tooling.
• Set technical direction and mentor other data scientists to ensure high standards of technical rigor.

What we're looking for

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 7+ years of experience extracting insights from large datasets using Python and SQL.
• 7+ years of experience using statistical methods for classification, segmentation, forecasting, and customer lifetime value.
• Demonstrated experience architecting and scaling experimentation platforms including hypothesis testing and metric tracking.
• Strong expertise in causal inference methods such as synthetic control, diff-in-diff, propensity score matching, and regression discontinuity.
• Proven track record of building and deploying ML models that drive business decisions and product outcomes.
• Ability to set technical direction and influence cross-functional roadmaps at a senior level.
• Strong communication skills to translate complex technical concepts for non-technical stakeholders.