[CLS] First & Middlemile Data Scientist (Operation Research)
Core
Designing optimal first and middle-mile logistics processes and improving supply chain efficiency through data analysis and optimization.
Role type
Senior Operations Research Data Scientist
Builds
Data-driven decision support tools and optimized logistics networks for Coupang's Rocket Delivery service
Domain
Logistics, Supply Chain, Operations Research
Deliverable
production ML models | dashboards & analysis
Required skills
Operations Research, Linear/Integer/Network Programming, Optimization Algorithms, Python, SQL, Statistical Analysis, Simulation Modeling, Mathematical Modeling
Preferred skills
PhD in Quantitative Field, Large-scale Application Implementation, Supply Chain/Transportation Optimization, Model Validation
Technologies
Python, CPLEX, Gurobi, Xpress
Responsibilities
Develop mathematical models and optimization algorithms to improve logistics and supply chain systems; Analyze large-scale operational data to identify inefficiencies and propose data-driven solutions; Design and validate simulation models to evaluate strategic performance under various scenarios; Collaborate with cross-functional teams to translate business problems into analytical solutions; Build decision support tools integrating optimization and predictive analytics; Monitor and continuously improve models based on real-world performance and feedback.
Seniority
Senior, hands-on IC
