Data Scientist, Apple Pay
Core
Reimagining how Apple Pay measures and optimizes its marketing through advanced statistical modeling, causal inference, and AI/ML.
Role type
Senior IC data scientist (marketing science & causal inference)
Builds
Production-grade causal inference pipelines, ML-powered experiment analysis, and LLM-accelerated insight generation
Domain
Marketing science, media measurement, and customer behavior analytics
Deliverable
production ML models
Required skills
marketing mix modeling, causal inference, incremental testing, propensity modeling, segmentation, Python, SQL, Generative AI/LLMs
Preferred skills
paid media data analysis, awareness and performance marketing measurement, Generative AI for budget optimization and creative analysis
Technologies
pandas, NumPy, scikit-learn, statsmodels, SQL, LLMs
Responsibilities
Design and implement marketing mix models and causal inference pipelines; Build and execute incrementally tests; Apply ML techniques for segmentation and behavioral pattern recognition; Partner with cross-functional teams to define success metrics; Build and maintain production-grade ML workflows; Leverage Generative AI to automate reporting and accelerate insights
Seniority
Senior, hands-on IC
