Applied Scientist, Agentic WorkSpaces (AAWS)
Core
Design, build, and optimize capacity forecasting and resource allocation models for Amazon WorkSpaces to ensure efficient, cost-effective compute and storage provisioning.
Role type
Senior Applied Scientist (Capacity Modeling & Optimization)
Builds
Predictive capacity intelligence systems for cloud virtual desktop infrastructure
Domain
Cloud Infrastructure / Operations Research / Machine Learning
Deliverable
production ML models
Required skills
demand forecasting, supply optimization, causal modeling, probabilistic modeling, simulation and scenario planning, machine learning, operations research, deep learning, mathematical optimization
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Define scientific strategy for capacity modeling; build advanced demand forecasting models; design supply optimization frameworks; develop causal and probabilistic models; architect simulation and scenario planning systems; pioneer ML integration with operations research; establish evaluation frameworks and monitoring systems; influence organizational capacity strategy.
Seniority
Senior, hands-on IC