Scientist

• Turn ambiguous supply chain problems involving inventory, network design, routing, planning, and capacity into optimization models and production-grade software
• Formulate decisions as LP/MIP, network flow, heuristic, or simulation models, stating and defending assumptions
• Diagnose and improve slow or infeasible optimization models using tighter formulations, valid inequalities, warm starts, decomposition, or heuristics
• Write clean, tested, production-grade Python or the team’s language against solvers and modeling layers
• Take models from prototype toward reliable, monitored production use
• Use AI/LLM and agentic tooling as a validated build accelerator and, where relevant, help design, evaluate, and guardrail it within algorithmic pipelines
• Connect models to business decisions such as service levels, lead times, and plan stability
• Explain formulations, trade-offs, and results to technical and non-technical audiences
• Work on the Decision Science team under Algorithms/Applied Science leadership
• Own well-scoped pieces of larger problems under guidance from senior scientists

Explore OR Scientist at Lyric. Review requirements and application details.