Data Scientist - Capacity Planning - Apple Data Platform
Core
Develop forecasting models and analytical frameworks to forecast infrastructure demand, optimize capacity, and improve the economics of large-scale compute environments for Apple's data and AI platforms.
Role type
Senior IC data scientist (capacity planning & infrastructure economics)
Builds
Production forecasting models, analytical frameworks, and data products for infrastructure decision-making
Domain
Cloud infrastructure, AI/ML compute, and financial operations
Deliverable
production ML models
Required skills
SQL, forecasting models, statistical modeling, scenario analysis, optimization models, data product development, unit-economics modeling, dashboard creation
Preferred skills
Python, Tableau, GPU/TPU capacity planning, public cloud cost analysis, AI/ML infrastructure knowledge, automated pipeline building
Technologies
SQL, Python, Tableau, AWS, GCP
Responsibilities
Develop short- and long-range capacity forecasts for GPU, TPU, CPU, and storage resources; Build demand forecasting models using historical utilization and workload growth; Translate workload forecasts into infrastructure requirements; Develop analytical models for utilization efficiency and supply-demand gaps; Build infrastructure unit-economics models; Evaluate trade-offs across on-demand, committed, reserved, and spot capacity; Establish feedback loops to validate forecast accuracy; Automate capacity planning and reporting using data pipelines.
Seniority
Senior, hands-on IC
