Applied Scientist: Capacity Forecasting for WorkSpaces

Amazon

Seattle, Northern (WA, KY)

Hybrid

USD 143,000 - 193,000

Full time

14 days+

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Job summary

Amazon is seeking an Applied Scientist for the Agentic WorkSpaces team (AAWS). You will build and deploy forecasting and optimization models to ensure right compute, storage, and networking resources across regions, balancing performance and cost.

This high-impact role blends research with production systems. You will define the scientific roadmap for capacity intelligence, integrate ML with operations research, and mentor scientists and engineers while influencing capacity strategy across

Qualifications

3+ years of building models for business applications.
PhD or MS with 4+ years in CS/CE/ML.
Publications or patents in top conferences/journals.
Experience programming in Java, C++, Python.
Knowledge of algorithms, data structures, and distributed computing.

Responsibilities

Define scientific strategy for capacity modelling and research agenda for WorkSpaces.
Build advanced demand forecasting models across horizons and signals.
Design supply optimization and pre-warming frameworks balancing cost and availability.
Develop causal and probabilistic models to understand demand drivers and uncertainty.
Architect simulation and what-if analyses for capacity planning decisions.
Pioneer ML-OR integration to jointly solve demand and resource allocation.
Establish evaluation frameworks for forecast accuracy and cost efficiency in production.
Translate model outputs into actionable leadership recommendations and mentor team members.