Amazon
Applied Scientist, Supply Chain Optimization Technologies, Specialized Selection
$143K–$193K
Bellevue, WA · Full-time · Posted Sep 11, 2026
- Experience
- 3+ years building models for business applications; PhD, or Master’s degree and 4+ years of CS, CE, ML, or related field experience.
- Education
- PhD, or Master’s degree; preferred PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
About the job
Develops and productionizes machine-learning and optimization systems that select products for Amazon’s limited-assortment delivery programs, balancing customer demand with warehouse and operational constraints.
What you'll do
- Translate business challenges into scientific solutions; design models, metrics, and scalable systems.
- Prototype and analyze models, then productionize solutions, including critical-path code.
- Communicate findings to technical and business audiences, publish research, and mentor scientists.
What they ask for
- 3+ years of building models for business applications.
- PhD, or Master’s degree and 4+ years of experience in CS, CE, ML, or a related field.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language; experience in at least one listed area such as numerical optimization or data mining.
Nice to have
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
- Experience in professional software development.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Machine Learning (ML), large language models, mixed integer linear programs (MILPs), reinforcement learning
AI focus
Applies machine learning, large language models, reinforcement learning, and other scientific methods to product assortment selection, demand forecasting, and supply-chain optimization.
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