Senior Product Data Scientist, Media Services

About the Role

Key Responsibilities

• Provide data-driven insights to support decision-making across product, business, and creative teams focused on Apple Services.
• Inform understanding of how users discover and engage with content and subscription offerings.
• Define engineering and business intelligence requirements for new datasets and data products to enable product feature and content launches.
• Collaborate with the broader data science organization on cross-functional initiatives to ensure a comprehensive view of products and services.
• Design, implement, and evaluate A/B tests and experiments to continuously improve the product experience.
• Develop and deploy machine learning models to optimize products and services.
• Partner with business stakeholders to shape and guide roadmaps, influence priorities, and support product strategy with data.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Proficient in extracting insights from large datasets using programming languages such as Python and SQL.
• Skilled in designing and executing experimentation strategies, including test definition and results measurement.
• Skilled in applying statistical methods to business problems including classification, segmentation, and forecasting.
• Experienced in applying data science techniques to solve ambiguous, real-world problems and clearly communicate insights to stakeholders.
• Excellent interpersonal and communication skills, with the ability to collaborate effectively across technical and non-technical teams.

Nice to Have

• Experience with advanced causal inference methods.
• Experience with distributed computing frameworks like Spark.
• Experience in using AI to augment data science workflows.
• Experience in media or entertainment industry.
• Passion for film, television, and/or music domains.

Qualifications

• Proficiency in programming languages such as Python and SQL.
• Experience with designing and executing experiments and statistical analysis.
• Ability to communicate insights effectively to stakeholders.

Benefits & Perks

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Range of discounted products and free services.
• Reimbursement for educational expenses related to career advancement.
• Discretionary bonuses or commission payments.
• Relocation assistance.
• Opportunity to participate in Apple's employee stock programs, including restricted stock units and stock purchase plans.