OR Scientist

The role

You will turn supply chain problems into optimization models and ship them as production-grade software. You will work on problem formulation, solver implementation, and using AI/LLM tooling.

What you will do

• Formulate supply chain decisions as LP/MIP, network flow, heuristic, or simulation models.
• Diagnose and improve slow or infeasible optimization models.
• Write clean, tested, production-grade Python against solvers and modeling layers.
• Use AI/LLM and agentic tooling as an accelerator and product component.
• Connect models back to business decisions like service levels and lead times.
• Explain formulations, trade-offs, and results to technical and non-technical audiences.

Required qualifications

• Hands-on experience formulating and solving real optimization problems beyond coursework.
• Professional software engineering practice in Python or a comparable language.
• Exposure to at least one commercial or open-source solver via a modeling layer or clear evidence of picking it up fast.
• A critical, hands-on posture toward AI/LLM coding tools.

Nice to have

• Prior exposure to supply chain or a comparable operational-decision domain.
• A track record of work that ran at real scale.
• Experience shipping something that stayed in production and that others depended on.
• A self-initiated project or improvement driven end-to-end.
• A novel formulation, technique, framework, paper, patent, or open-source contribution.
• Background at a company or lab doing optimization, supply chain, or algorithmic decisioning at scale.

About the company

Lyric is an enterprise AI platform built specifically for supply chains. It offers out-of-the-box AI solutions and a platform-first approach for optimizing networks, inventory, and more.