ML Data Science Manager, ISE Analytics and User Studies

Summary

Apple’s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion.

Description

As the manager of the ISE Data Science team, you will lead and mentor a talented group of data scientists to understand customer engagement with Apple’s products and features. You will oversee the team’s efforts to collect, analyze, and interpret vast amounts of quantitative (telemetry) and qualitative (customer feedback) data to help improve Apple's products, inform strategic directions, and enhance the overall user experience. You will work closely with the Input Experience Analytics software engineering team to design and implement metrics for our software features, as well as the ISE User Studies team to establish a holistic picture of the user experience.

The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.

Preferred Qualifications

5+ years of management experience
Experience working on consumer-facing products or shipping products
Experience using AI tools for text or image creation and editing (e.g. ChatGPT, Gemini, Apple Intelligence), and/or AI models for data analysis, synthesis, or evaluation workflows
Advanced degree in data science, engineering, or any related field of study

Minimum Qualifications

2+ years of experience managing or leading diverse teams of data scientists and/or software engineers and researchers
Can lead teams in applying statistical analysis and inference, A/B experimentation and modeling (e.g. statistical, machine learning), to drive data-informed decisions, while maintaining hands-on proficiency in Python, SQL and Tableau
Able to translate complex data into clear, actionable insights and recommendations for executive leadership and cross-functional stakeholders, ensuring alignment between technical findings and business objectives
Organized, highly attentive to detail, and adaptable to rapidly changing requirements and environments