Lead Product Data Scientist, Media Services

Apple, Inc.; Culver City (CA); On-site; USD 175,000 - 309,000; Full time

Benefits offered by this job

Employee stock purchase plan

Discretionary bonuses

Relocation

Education reimbursement

Medical and dental coverage

Job summary

Apple is seeking a Senior Product Data Scientist for Media Services in Culver City, CA. You will own data science strategy and build scalable ML and experimentation solutions for Apple Music, Apple TV, Podcasts, Fitness+, and more.

You will collaborate with Business, Marketing, Product, Content, and Engineering to translate insights into tangible product improvements while maintaining a strong emphasis on privacy and customer trust.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 7+ years experience extracting insights from large datasets, employing Python and SQL.
• 7+ years experience employing statistical methods to tackle business problems related to classification, segmentation, forecasting, and customer lifetime value.
• 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 drive business decisions.
• 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.

Responsibilities

• Own and drive the data science strategy for product, business, and creative teams.
• Lead understanding of how users discover and engage with content and subscription services, translating 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.
• Lead the definition and prioritization of data infrastructure and tooling roadmap, defining engineering and BI 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.

Skills

Python

SQL

Statistics

Causal inference

Machine Learning

Experimentation

Communication

Leadership

Education

Bachelor's degree in CS/Stats/Math/Engineering

Master's or PhD in quantitative field

Tools

Spark

Job description

Apple is seeking a Senior Product Data Scientist for Media Services in Culver City, CA. You will own data science strategy and build scalable ML and experimentation solutions for Apple Music, Apple TV, Podcasts, Fitness+, and more.

You will collaborate with Business, Marketing, Product, Content, and Engineering to translate insights into tangible product improvements while maintaining a strong emphasis on privacy and customer trust.