Applied Scientist, Large-Scale Optimization & Forecasting

Amazon; New York (NY); On-site; USD 172,000 - 223,000; Full time

Job summary

Amazon's Supply Chain Planning Optimization team seeks a scientist to design and deploy large-scale optimization and forecasting models that plan inventory and flow across the EU/NA network under uncertainty.

You will shape the decomposition of the global problem, push the computational frontier, and collaborate with partners to ship production-grade solutions end to end, delivering impact at scale.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Build state-of-the-art, robust, and scalable stochastic optimization and probabilistic forecasting algorithms that drive optimal planning and execution under uncertainty across Amazon's end-to-end supply chain.
• Shape how large-scale planning problems are formulated, decomposed, and solved — designing for computational performance and reliability at the scale of Amazon's fulfillment network.
• Engineer your algorithms as production-grade, cloud-native software, applying modern development practices from prototype through deployment.
• Think several steps ahead: architect long-term scientific solutions while continuously shipping incremental improvements to what's already running.
• Prototype fast, drive early adoption through pilots, integrate operational feedback, and iterate.
• Deliver your science into production by partnering closely with internal customers — understanding their needs and blockers, and influencing their roadmaps.
• Lead complex analyses and communicate results and recommendations crisply to senior leadership.
• Stay at the frontier as an active member of the science community: research, apply, and publish (internally and externally) the latest OR/ML techniques from academia and industry

Skills

Java

C++

Python

Distributed computing

Numerical optimization

Data mining

Education

PhD, or Master’s degree in CS/CE/ML or related field

Tools

Unix/Linux

Job description

Amazon's Supply Chain Planning Optimization team seeks a scientist to design and deploy large-scale optimization and forecasting models that plan inventory and flow across the EU/NA network under uncertainty.

You will shape the decomposition of the global problem, push the computational frontier, and collaborate with partners to ship production-grade solutions end to end, delivering impact at scale.