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Data Scientist/Data Engineer Analyst/Consultant for Supply Chain - barcelona

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BarcelonaFull-timeMid LevelOn-site

Job Description

Overview

No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.

Join Accenture’s Data & AI for Supply Chain to apply advanced analytics and AI to solve fulfillment challenges across industries. You will translate real-world supply chain problems into models and algorithms that optimize decisions, from network design to workforce allocation. You’ll design and improve end-to-end solutions, collaborating with cross-functional teams and shaping innovative offerings.

This role combines technical depth with strategic impact in a globally distributed practice.



Compensaciones / Beneficios
  • Health, life, and accident insurance
  • Medical services and wellness programs
  • Flexible compensation and stock purchase plans
  • Flexibility programs (hours, time off, vacation)
  • Personalized training paths
  • Sustainability initiatives and Accenture Foundation programs

Responsabilidades
  • Apply optimization, simulation, and machine learning to fulfillment challenges
  • Translate industry problems into mathematical formulations and develop algorithms
  • Design and improve solutions for Route & Flow Path Optimization
  • Perform Network Design & Center of Gravity Analysis
  • Optimize Workforce Scheduling & Resource Allocation
  • Advance Order-to-Cash optimization and stock allocation strategies
  • Develop Digital Twins for Fulfillment to test scenarios
  • Collaborate with engineers, consultants, and data scientists to deliver impact
  • Contribute to business development by shaping offerings

Requisitos principales
  • 2+ years of experience in xkdbapo Data & AI or related fields
  • Strong expertise in AI, analytics, and optimization as applied to supply chain
  • Proficiency in Python, R, SQL
  • English proficiency (additional languages a plus)
  • Strategic thinking
  • Cross-functional collaboration
  • Communication of complex insights to diverse audiences
  • Python, R, SQL
  • Optimization: LP/ILP, Heuristics/Meta-Heuristics, Discrete Event Simulation, digital twins
  • Forecasting, predictive modeling, optimization algorithms

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