Materials Program Manager (Data Science)

Shanghai February 25, 2026 Apple Custom Ats

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.

Description

The Materials Program Management (MPM) team at Apple is leading a bold transformation to redefine how supply chains are managed in the age of data intelligence. We are seeking passionate, curious, and impact-driven Data Science talents to join us in building the next-generation material management system that will shape the future of Apple’s global operations. At MPM, our mission is to seamlessly connect data, decisions, and execution — ensuring every Apple product has the right materials at the right time. We turn complex global supply signals into actionable insights through our Clear To Build (CTB) process, driving supply assurance for some of the world’s most advanced technologies. If you’re passionate about using data to solve meaningful, high-impact challenges — and want to see your work drive change at a global scale — this is the opportunity to make your mark.

Minimum Qualifications

BS/BA or above, accumulate work experience in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.

Preferred Qualifications

Supply Chain Understanding: Familiarity with supply chain fundamentals or operations research (optimization) is a strong plus. Data Scientist: Strong proficiency in data processing is required. A solid theoretical understanding of core machine learning concepts will be a plus. Passion to work in fast-paced, evolving and result driven environment. Proven record of excellent communication, problem solving and digital tools. Learning agility to grow, contribute, and drive cross-functional excellence in a high-performance organization. Capacity to analyze complex situations, formalize the innovative solution, and lead the executive communication as needed.
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