Fulfillment Optimization Scientist

Amazon; Bellprat; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Amazon’s SCOT Fulfillment Optimization Science & Tech team in Barcelona (with potential postings in Luxembourg or London) seeks Applied Scientists to design and build state-of-the-art optimization and forecasting models powering fulfillment decisions at global scale. You’ll tackle large-scale planning, multi-objective tradeoffs, and predictive ML amidst a fast-paced, production-driven environment.

Join a team that combines research rigor with production impact, collaborating with engineers and

Formación

• PhD in Operations Research, Applied Mathematics, Computer Science, or related field (or equivalent experience).
• Strong programming skills (Python preferred; experience with optimization solvers a plus).
• Research experience in large-scale mathematical programming (LP, MIP, decomposition methods).
• Experience in combinatorial optimization (assignment, scheduling, network flows).
• Experience in multi-objective optimization and time-series forecasting; causal inference is a plus.

Responsabilidades

• Design and implement optimization and forecasting models for large-scale fulfillment problems from problem formulation to production-ready prototypes.
• Analyze tradeoffs (cost, speed, capacity, accuracy) and provide actionable recommendations to leadership and operations teams.
• Collaborate with engineers to deploy science solutions into production systems serving millions of orders daily.
• Prototype end-to-end research solutions, from data analysis to scalable implementation and production validation.

Conocimientos

Python

Java

C++

Optimization

Machine Learning

Time-series

Research

Educación

PhD

Master's degree

Operations Research

Herramientas

Unix/Linux

Parallel computing

Optimization solvers

Descripción del empleo

Amazon’s SCOT Fulfillment Optimization Science & Tech team in Barcelona (with potential postings in Luxembourg or London) seeks Applied Scientists to design and build state-of-the-art optimization and forecasting models powering fulfillment decisions at global scale. You’ll tackle large-scale planning, multi-objective tradeoffs, and predictive ML amidst a fast-paced, production-driven environment.

Join a team that combines research rigor with production impact, collaborating with engineers and