The role involves working as a data scientist at Apple, focusing on analyzing complex datasets to derive meaningful insights and create intuitive tools. The team operates at the intersection of hardware, software, and intelligence, contributing to the development of AI-driven experiences. Responsibilities include discovering signals in large-scale data, building search mechanisms, and crafting visualizations that guide product direction. This position requires collaboration with various teams to create integrated solutions that enhance Apple's ecosystem.

• Proven experience in data science, analytics engineering, or applied research roles
• Strong proficiency in Python and common data analysis libraries
• Expertise with data visualization tools or frameworks for building interactive dashboards
• Experience querying and modeling data in SQL and NoSQL environments
• Ability to analyze large-scale, high-dimensional, and multi-modal datasets
• Bachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, or related field, and 5+ years of industry experience

• Discover signals in large-scale distributed logs
• Build search and retrieval mechanisms to make data accessible
• Craft interactive visualizations and evaluations that guide product direction and system performance
• Collaborate closely with hardware, robotics, ML, design, and platform teams
• Design systems, infrastructure, and tools for AI-driven experiences

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.