Applied Scientist: Large-Scale Fulfillment Optimization

Amazon Inc.

Asti

Ibrido

EUR 90.000 - 150.000

Tempo pieno

26 ore fa
Candidati tra i primi
Generatore di candidature

Ottieni una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione perfettamente in linea con ciò che sta cercando.

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Descrizione del lavoro

Amazon EU SARL (Spain Branch) in Barcelona (with alternatives Luxembourg or London) seeks Applied Scientists to advance optimization and forecasting for fulfillment decisions. You will build models at scale, collaborate with engineers to productionize solutions, and influence planning across the network.

The role emphasizes research–to–production, multi-objective optimization, and time-series forecasting with uncertainty quantification to improve cost and speed of shipments globally.

Competenze

  • PhD in Operations Research, Applied Mathematics, Computer Science, or related field (or equivalent experience)
  • Experience programming in Java, C++, Python or related language
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience in large-scale optimization, combinatorial optimization, multi-objective optimization, and time-series forecasting

Mansioni

  • Design and implement optimization and forecasting models for large-scale fulfillment problems.
  • Collaborate with engineers to productionize models and ship systems.
  • Analyse tradeoffs and translate findings into actionable recommendations for leadership and operations teams

Conoscenze

Java
C++
Python
Machine learning
Optimization
Time-series forecasting
Research

Formazione

PhD in Operations Research or related field
Master's degree acceptable

Descrizione del lavoro

Amazon EU SARL (Spain Branch) in Barcelona (with alternatives Luxembourg or London) seeks Applied Scientists to advance optimization and forecasting for fulfillment decisions. You will build models at scale, collaborate with engineers to productionize solutions, and influence planning across the network.

The role emphasizes research–to–production, multi-objective optimization, and time-series forecasting with uncertainty quantification to improve cost and speed of shipments globally.

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