[cls] First & Middlemile Data Scientist (operation Research)

Coupang Inc

Seoul, South Korea
On-site
Python programming skills
Cplex or gurobi optimization tools
Linear and integer programming expertise
Coupang Inc. is seeking a First & Middlemile Data Scientist to optimize logistics processes within its logistics services division, CLS, based in Seoul, South Korea. The ideal candidate will have a strong background in operations research, data analysis, and supply chain management, along with proficiency in programming tools such as Python and CPLEX

Job Summary

  • The role involves designing optimal logistics processes for the First & Middlemile network to enhance customer satisfaction.
  • Candidates will develop mathematical models and optimization algorithms to improve large-scale transportation and supply chain systems.
  • The team collaborates with various departments to translate business problems into analytical solutions and build decision support tools.

Matching Summary

Match Score: 85

Coupang Inc. is seeking a First & Middlemile Data Scientist to optimize logistics processes within its logistics services division, CLS, based in Seoul, South Korea. The ideal candidate will have a strong background in operations research, data analysis, and supply chain management, along with proficiency in programming tools such as Python and CPLEX.

Skills & Requirements

Must-have

  • Python programming skills
  • CPLEX or Gurobi optimization tools
  • Linear and integer programming expertise
  • Network flow algorithm application
  • SQL database proficiency
  • Supply chain modeling experience

Nice-to-have

  • PhD in quantitative field
  • Real-world model implementation experience
  • English business communication skills
  • Simulation model design capability
  • Cross-functional collaboration ability

Key Requirements

  • Master's degree in Operations Research or related field
  • 3+ years of experience in supply chain optimization
  • Advanced knowledge of linear and dynamic programming

Work Rights

Not specified

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