Machine Learning Data Scientist – Apple Pay Marketing

Role Overview

We are looking for an experienced Data Scientist with the intellectual curiosity and strategic depth to reimagine how Apple Pay measures and optimizes its marketing.

What You Will Do

You will identify the questions worth asking, conceptualize the right framework to answer them, and propose approaches that others haven’t considered yet.

Why It Might Be a Fit

You will architect the right measurement framework before a single model is built, identifying the causal assumptions that need to hold, the confounders that need to be controlled for, and the experimental conditions that will make results actionable.

Requirements

• Hands-on experience in marketing science — including building marketing mix models, causal inference, and incrementality measurement
• Experience designing and executing marketing experiments
• Proficiency in applying ML techniques to marketing and customer datasets
• Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent)
• Strong command of SQL for querying and analyzing large-scale marketing and media datasets