Lead Optimization Scientist - Large-Scale, Cloud-Native

Amazon; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Amazon's Supply Chain Planning Optimization team is building the next generation of planning systems at planetary scale, solving large-scale optimization with hundreds of thousands of variables in seconds, aligned with probabilistic forecasts for real inventory movement across hundreds of millions of customers.

We seek an experienced scientist with depth in large-scale optimization, stochastic methods, and forecasting to own end-to-end models from whiteboard to production in a cloud-native

Qualifications

• Experience in large-scale optimization, with stochastic methods and decomposition.
• Fluency in machine learning and probabilistic forecasting.
• Track record delivering complex scientific systems end to end.

Responsibilities

• Build state-of-the-art, scalable stochastic optimization and probabilistic forecasting algorithms.
• Shape formulation, decomposition, and solution for computational performance at scale.
• Engineer production-grade, cloud-native software with modern development practices.
• Architect long-term scientific solutions while shipping incremental improvements.
• Prototype quickly, drive pilots, and iterate with operational feedback.
• Deliver science into production by partnering with internal customers and leadership.

Skills

Large-scale optimization

Stochastic optimization

Decomposition methods

Machine learning

Probabilistic forecasting

End-to-end delivery

Job description

Amazon's Supply Chain Planning Optimization team is building the next generation of planning systems at planetary scale, solving large-scale optimization with hundreds of thousands of variables in seconds, aligned with probabilistic forecasts for real inventory movement across hundreds of millions of customers.

We seek an experienced scientist with depth in large-scale optimization, stochastic methods, and forecasting to own end-to-end models from whiteboard to production in a cloud-native