Operation research engineer
Core
Design, build, and deploy mathematical optimization models to drive operational efficiency and decision quality across Seeds Research & Development.
Role type
Senior Operations Research Engineer (Mathematical Optimization)
Builds
Algorithmic decision-support solutions for Seeds R&D
Domain
Agriculture / Seeds Research & Development
Deliverable
production ML models
Required skills
Mathematical programming (LP, MIP, NLP, CP), Python, Optimization solvers (Gurobi, SCIP, FICO Xpress, COPT), Data modeling, KPI definition, Scenario analysis, Project management
Preferred skills
Manufacturing/Supply Chain/Logistics domain knowledge, Combinatorial optimization, AI-assisted coding tools, Lightweight decision-support interfaces, Agile practices
Technologies
Python, Gurobi, SCIP, FICO Xpress, COPT, Git/GitHub, Streamlit
Responsibilities
Design and deploy optimization models; Translate business objectives into mathematical formulations; Integrate solutions into digital ecosystem; Validate models via testing and simulation; Lead projects and align stakeholders; Communicate insights to management
Seniority
Senior, hands-on IC
