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Remote role but niche optimization/OR requirements limit applicant pool.
Strong supply-chain and OR specialization reduces cross-industry transferability.
Explicit 7.5+ years plus mandatory optimization, ML, solvers, and cloud experience.
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Design and develop advanced optimization models and hybrid real-time optimization engines for large-scale supply chain problems.
Translate client business use cases into scalable technical designs using exact and heuristic algorithms and simulation platforms.
Lead architectural decisions, review design for scalability and performance, and support pre-sales and go-to-market asset development.
7.5+ years total work experience.
Experience with supply chain platforms like Llamasoft, O9, Anaplan, or Kinaxis.
Proficiency in advanced optimization solvers (Gurobi, CPLEX, AMPL), heuristic/meta-heuristic algorithms, and simulation platforms (AnyLogic, FlexSim).
Bachelor's or master's degree in Computer Science, IT, or related field.
Has hands-on expertise integrating machine learning-enhanced optimization and approximation algorithms for combinatorial supply chain challenges.
Skilled at bridging technical work and business decision-making with strong communication and trade-off assessment abilities.
Experienced in applying parallel computing, stochastic optimization, cloud platforms (AWS/Azure/GCP), and consulting background to delivery of supply chain optimization solutions.