Data Scientist, Apple Pay

Apple • Cupertino, CA

2d

About The Position

Apple is seeking an experienced Data Scientist to rethink how Apple Pay measures and optimizes marketing. The role calls for intellectual curiosity and strategic depth: identifying important questions, developing suitable measurement frameworks, and proposing new analytical approaches.

The position applies marketing science to assess cross-channel effectiveness through marketing mix models, incremental testing such as geo-based experiments, causal inference, and behavioral analysis. The successful candidate will design measurement frameworks before modeling begins, specify causal assumptions and confounders, and define experimental conditions that produce actionable results. AI and machine learning are used to improve the rigor, scale, and speed of this work, including production-grade causal inference pipelines, ML-powered experiment analysis, and using large language models to accelerate insight generation and communication.

Requirements

• At least 3 years of hands-on experience in marketing science, including building marketing mix models, causal inference, and incrementality measurement.
• Experience designing and executing marketing experiments.
• Proficiency applying machine learning techniques to marketing and customer datasets.
• Strong proficiency in Python and data science libraries such as pandas, NumPy, scikit-learn, and statsmodels, or equivalent.
• 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, with the ability to tell compelling stories with data to technical and non-technical audiences.

Nice To Haves

• Experience with paid media data across channels, including paid digital, in-store media, social, and other performance marketing platforms.
• Experience with awareness and performance marketing measurement.
• Active awareness of industry trends in marketing science and media measurement, including emerging methodologies and tools, and ability to bring those perspectives to the team.
• Experience applying generative AI to marketing workflows, including budget optimization, automated creative analysis, or campaign performance reporting.
• Advanced degree (M.S. or Ph.D.) in Statistics, Machine Learning, Econometrics, Marketing Science, or a related quantitative field.

Responsibilities

• Identify important questions and develop measurement frameworks for Apple Pay marketing.
• Measure and optimize marketing effectiveness across channels using marketing mix models and statistical or econometric methods.
• Design and execute marketing experiments, including incremental and geo-based testing.
• Apply causal inference methods to isolate causal lift, identify assumptions, and account for confounders.
• Use behavioral analysis, including clustering, propensity modeling, or sequence analysis, to inform audience strategies and campaign design.
• Apply machine learning and AI to marketing measurement, including causal inference pipelines and experiment analysis.
• Use generative AI and large language models to accelerate insight generation and communication.
• Communicate analytical findings through compelling data stories to technical and non-technical audiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed