OR Scientist

About the Company Why We Built Lyric: Supply chains are more critical and complex than ever. Every day, large enterprises navigate trillions of possible decisions that could impact the bottom line. Powerful algorithms and AI can address these problems, yet most organizations struggle to leverage supply chain AI at scale. The current SCM technologies are either rigid, limited-scope point solutions or custom solutions built in-house, which demand immense expertise and investment. That is…until now. Enter Lyric : Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds: Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plus A platform-first approach that empowers both business and technical users with end-to-end product composability, leveraging no-code tools, their own code, or even forking our code to build and refine supply chain decision intelligence With Lyric, enterprises no longer have to choose between flexibility and speed, they get both. The Mission: We’re building a new era in supply chain with the team best equipped to lead it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like Lyric. Since our inception in December 2021, that conviction has been validated time and time again. Today, a growing number of Fortune 500 companies, including Smurfit WestRock, Estée Lauder, Coca-Cola, and more, are innovating on their own terms with Lyric. We can’t wait to see what our customers, both current and future, are empowered to build with us next. Come build with us! LYRIC Decision Science OR Scientist / Algorithms Engineer Full-time · Decision Science team · Reports into Algorithms/Applied Science leadership About Lyric Lyric builds an AI-native platform for supply chain decisions, where modeling, planning, and applied decision science run on a single composable architecture. The platform gives enterprise supply chain teams out-of-the-box algorithms for network optimization, inventory allocation, routing, fulfillment capacity planning, order promising, demand propagation, and scenario analysis — alongside a platform-first layer that lets business and technical users build and extend that intelligence with no-code tools or their own code. Lyric is backed by leading enterprise software investors and works with global Fortune 500 supply chain organizations. The team is built around deep, applied expertise at the intersection of operations research, algorithms, and supply chain — and the OR Scientist / Algorithms Engineer ladder is the technical core of that team. About the Role As an OR Scientist / Algorithms Engineer, you'll turn ambiguous, messy supply chain problems — inventory, network design, routing, planning, capacity — into correct, well-reasoned optimization models, and ship them as production-grade software. You'll work across the full arc from problem formulation through solver implementation to communicating impact, and you'll use (and help shape how the team uses) AI/LLM tooling as both a build accelerator and a product building block. This is an entry/early-career IC role on our ladder: you'll own well-scoped pieces of a bigger problem under the guidance of senior scientists, with a clear growth path to Senior, Lead, and Principal as your scope and independence grow. What You'll Do Formulate real supply chain decisions — inventory, routing, network design, planning, capacity — as LP/MIP, network flow, heuristic, or simulation models, stating and defending your assumptions. Diagnose and improve slow or infeasible optimization models: tighten formulations, apply valid inequalities, warm starts, decomposition, or heuristics as the situation calls for. Write clean, tested, production-grade Python (or the team's lang