Principal Operations Research Scientist(Gurobi/CPLEX/Xpress)(Python/Java/C++/C#/ Go)(12+years) - 11780
Core
Principal hands-on architect for core optimization engines, formulating and implementing advanced mathematical models (MIP, LP, NLP, Network Flow) to solve strategic sourcing and supply chain challenges.
Role type
Principal Operations Research Scientist (Optimization Architect)
Builds
Scalable, production-ready enterprise software for Business Spend Management (BSM) and Supply Chain optimization.
Domain
Supply Chain Management / Operations Research / Mathematical Programming
Deliverable
production ML models | production features
Required skills
Mathematical programming (MIP, LP, NLP, Network Flow), Commercial solver expertise (Gurobi, CPLEX, Xpress), Python, Java, C++, C#, Go, Algorithmic design, Computational complexity, Software architecture, Empirical validation
Preferred skills
Supply Chain Network Design, Inventory Optimization, Production/Scheduling Optimization, Routing Optimization, Machine Learning integration, PySpark, SQL, Distributed computing
Responsibilities
Take end-to-end technical ownership of complex optimization features, Partner with software architects to integrate models into high-throughput SaaS platforms, Bench-test and tune commercial solvers for performance, Mentor senior and junior engineers/scientists, Work with Product Managers to define feature requirements and manage trade-offs, Design robust validation frameworks and simulation environments
Seniority
Principal, hands-on IC with mentorship
