Applied Scientist — Large-Scale Optimization & ML

Amazon Science; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Amazon Science in Barcelona seeks Applied Scientists to join the Fulfillment Optimization team. You will design and build state-of-the-art optimization and forecasting models powering Amazon's fulfillment decisions at unprecedented scale across two core pillars.

You will prototype end-to-end solutions, from problem formulation to production validation, and collaborate with engineers to deploy systems used for millions of customer orders daily.

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 control.
• Experience in large-scale time-series forecasting (GenAI models, probabilistic forecasting, uncertainty quantification).
• Experience in causal inference (spatiotemporal causal modeling, offline policy evaluation).

Responsabilidades

• Design and implement optimization and forecasting models for large-scale fulfillment problems, from order assignment to network flow control.
• Build research prototypes end-to-end: from problem formulation through scalable implementation to production validation.
• Analyse complex tradeoffs (cost, speed, capacity, accuracy) and translate findings into actionable recommendations for leadership and operations teams.
• Collaborate with engineers to bring science solutions into production systems serving millions of customer orders daily.

Conocimientos

Optimization

Time-series forecasting

Causal inference

Python

LP/MIP

Distributed computing

Research publications

Educación

PhD in OR/CS/Math

MS/PhD in CS/Math/Comp Sci

Herramientas

Java

C++

Python

Descripción del empleo

Amazon Science in Barcelona seeks Applied Scientists to join the Fulfillment Optimization team. You will design and build state-of-the-art optimization and forecasting models powering Amazon's fulfillment decisions at unprecedented scale across two core pillars.

You will prototype end-to-end solutions, from problem formulation to production validation, and collaborate with engineers to deploy systems used for millions of customer orders daily.