Applied Scientist: Inventory & Assortment Optimization

Amazon; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon in Bellevue, WA seeks an Applied Scientist to tackle high-impact problems in product selection and inventory management using operations research, causal inference, forecasting, reinforcement learning, and agentic artificial intelligence.

You will develop state-of-the-art solutions, collaborate with engineering and business teams to deploy scalable decisions, publish work in top venues, and contribute to trusted, data-driven decisions across the supply chain.

Qualifications

• PhD or Master’s degree with 4+ years in CS, CE, ML or related field.
• 3+ years of building models for business applications.
• Experience with patents or publications in top-tier conferences/journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsibilities

• Develop stochastic and multi-objective optimization models for assortment planning.
• Apply causal inference and forecasting to measure impact and inform decisions.
• Build reinforcement learning foundation models for large-scale sequential decision making in inventory management.
• Translate rigorous science into clear, actionable recommendations and communicate them to stakeholders.

Skills

Java

C++

Python

Algorithms

Data mining

Distributed computing

Education

PhD/Master + 4+ years CS/CE/ML

Job description

Amazon in Bellevue, WA seeks an Applied Scientist to tackle high-impact problems in product selection and inventory management using operations research, causal inference, forecasting, reinforcement learning, and agentic artificial intelligence.

You will develop state-of-the-art solutions, collaborate with engineering and business teams to deploy scalable decisions, publish work in top venues, and contribute to trusted, data-driven decisions across the supply chain.