Senior Data Scientist — Media Services ML & Growth

Socket.dev; Culver City, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Apple Media Services is seeking a Senior Data Scientist to own data-driven strategy and deliver scalable ML and experimentation solutions across Apple Music, Apple TV, Podcasts, Fitness+ and more.

You will work with partners across Business, Marketing, Product, Content and Engineering to translate complex data into measurable business value, while upholding customer privacy and scalable analytics practices.

Qualifications

• Bachelor's degree in CS, Stats, Math, Engineering, or related field.
• 7+ years experience extracting insights from large datasets using Python and SQL.
• 7+ years experience applying statistical methods to classification, segmentation, forecasting, and CLV.
• Experience architecting and scaling experimentation platforms with hypothesis testing and metric tracking.
• Strong expertise in causal inference methods (synthetic control, diff-in-diff, propensity score matching, RD 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.

Responsibilities

• Own data-driven strategy and deliver scalable ML and experimentation solutions.
• Collaborate daily with partners across Business, Marketing, Product, Content and Engineering.
• Lead roadmap discussions and influence cross-functional priorities at a senior level.
• Maintain strong focus on customer privacy and data governance.

Skills

Python

SQL

Statistics

Experimentation

Causal Inference

Machine Learning

Data Strategy

Communication

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Master's or PhD in a quantitative field

Tools

Spark

Job description

Apple Media Services is seeking a Senior Data Scientist to own data-driven strategy and deliver scalable ML and experimentation solutions across Apple Music, Apple TV, Podcasts, Fitness+ and more.

You will work with partners across Business, Marketing, Product, Content and Engineering to translate complex data into measurable business value, while upholding customer privacy and scalable analytics practices.