Data Scientist, Apple Pay

What you'll do

• Design and implement marketing mix models and causal inference pipelines to quantify marketing effectiveness.
• Build and execute incremental tests to provide concrete campaign recommendations.
• Apply ML techniques like segmentation and propensity modeling to identify customer response patterns.
• Build and maintain production-grade ML models and workflows for marketing measurement and optimization.
• Leverage Generative AI and LLMs to automate reporting workflows and accelerate insight generation.
• Communicate model outputs and experiment results to technical and non-technical audiences through visualizations and narratives.

What we're looking for

• 3+ years of hands-on experience in marketing science, including building marketing mix models, causal inference, and incremental 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 like pandas, NumPy, scikit-learn, or statsmodels.
• Strong command of SQL for querying and analyzing large-scale marketing and media datasets.
• Familiarity with Generative AI and large language models and comfort integrating AI tools into analytical workflows.
• Strong written and verbal communication skills to tell compelling stories with data to technical and non-technical audiences.
• Advanced degree in Statistics, Machine Learning, Econometrics, Marketing Science, or a related quantitative field (preferred).