Support middlemile network decisions through data-driven communication with related teams
Develop mathematical models and optimization algorithms improving logistics and linehaul systems
Analyze large-scale operational data to identify inefficiencies and propose data-driven solutions
What they want
Hold a master's degree in a quantitative field or equivalent professional experience
Bring three or more years developing large-scale supply chain and logistics network strategies
Perform quantitative analysis using Python and CPLEX,Gurobi,or Xpress under uncertainty
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Nice to have
Hold a doctoral degree in statistics,operations research,engineering,or related quantitative field
Offer three or more years applying theoretical optimization models in real operating environments
Bring hands-on experience building supply chain,transportation,or network optimization models professionally
Seoulstart's read
Visa tier (likely)
E-7 specialty / professional (likely)
Korean language
Korean requirement not stated
English friendliness
Low: Korean-language workplace
Context
Korean-language Coupang Logistics posting; English is required on paper,but expect Korean-heavy collaboration across middlemile operations teams.
This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.