Applied Scientist - Inventory & Selection Optimization

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to tackle high-impact problems in product selection and inventory management using techniques from operations research, causal inference, forecasting, reinforcement learning and agentic artificial intelligence. You will develop state-of-the-art solutions to optimize customer experience with supply chain levers.

You will partner closely with engineering and business teams to turn these models into trusted, scalable decisions.

Qualifications

• PhD or Master’s degree with 4+ years of CS/CE/ML or related field experience.
• 3+ years building models for business applications.
• Publications or patents in top-tier conferences/journals.
• Proficient in Java, C++, Python.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.
• Experience with state-of-the-art deep learning model design, training, optimization, and pruning.
• Experience designing experiments and performing statistical analysis.
• Experience in professional software development.

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 Structures

Numerical Optimization

Parallel Computing

Distributed Computing

High-Performance Computing

Deep Learning

Education

PhD

Master's degree

Tools

Java

C++

Python

Job description

Amazon.com Services LLC is seeking an Applied Scientist to tackle high-impact problems in product selection and inventory management using techniques from operations research, causal inference, forecasting, reinforcement learning and agentic artificial intelligence. You will develop state-of-the-art solutions to optimize customer experience with supply chain levers.

You will partner closely with engineering and business teams to turn these models into trusted, scalable decisions.