Applied AI Scientist — Supply Chain Optimization

Amazon; Madrid; Presencial; EUR 100.000 - 140.000; Jornada completa

Descripción de la vacante

Amazon Madrid is seeking an Applied Scientist to support end-to-end supply chain planning and optimization. You will collaborate with software engineers, product managers and business teams to define challenges and craft AI-driven solutions across the fulfillment network.

You will harness advances in AI, ML and optimization to transform forecasting, planning and automated decision making at scale. This role emphasizes hands-on delivery and cross-functional leadership.

Formación

• PhD or Master’s in CS, CE, ML or related field.
• Experience building models for business applications.
• Publications or patents at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, optimization, data mining, parallel/distributed computing.

Responsabilidades

• Solve complex optimization and machine learning problems using scalable techniques.
• Apply modern AI methods to improve optimization, forecasting, and automated decision making across the supply chain.
• Design and develop efficient research prototypes addressing real-world problems across Amazon’s end-to-end supply chain.
• Lead complex time-bound, long-term and ad-hoc analyses to aid decision making.
• Communicate results and implications to leadership, including how AI-driven approaches change decisions.

Conocimientos

Optimization

Machine Learning

Problem Solving

Programming

Communication

Teamwork

Research

Educación

PhD or Master’s in CS/CE/ML

Publications/Patents in relevant fields

Herramientas

Java

C++

Python

Descripción del empleo

Amazon Madrid is seeking an Applied Scientist to support end-to-end supply chain planning and optimization. You will collaborate with software engineers, product managers and business teams to define challenges and craft AI-driven solutions across the fulfillment network.

You will harness advances in AI, ML and optimization to transform forecasting, planning and automated decision making at scale. This role emphasizes hands-on delivery and cross-functional leadership.