Senior Data Scientist - System Scheduling Performance

Apple's System Scheduling Performance team is seeking a Senior Data Scientist to work on resource allocation and optimization across all Apple platforms. As part of CoreOS, this role focuses on developing intelligent background task scheduling technology that considers factors like battery life, thermals, network efficiency, and memory usage. The position involves analyzing high-dimensional data to improve process runtime and resource utilization across Apple's product lines.

The ideal candidate will combine strong technical skills in data science and systems engineering with excellent communication abilities. You'll be responsible for developing scalable architecture for resource management while working with cross-functional teams to implement new operating system concepts. This highly visible role impacts core features like Photo Processing, Spotlight Search, Software Updates, and iCloud services.

Key aspects include quantitative analysis, performance optimization, and software prototyping. You'll help push boundaries at the OS level while ensuring efficient resource usage across Apple's ecosystem. The role offers opportunities to influence product development through data-driven insights and technical innovation.

Benefits include competitive base pay ($135,400-$250,600), equity through stock programs, comprehensive healthcare, retirement benefits, education reimbursement, and potential bonuses. Join Apple's mission to create intelligent, efficient systems that power millions of devices worldwide.