Operations Research Engineer — Build Scalable Optimization

Pelico; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Stock options

Office locations in Paris & Miami

Premium health coverage

Meal allowance

Transport support

Wellness benefits

Professional development

Résumé du poste

Pelico is building the factory of the future where disruptions are avoided and value captured. Our platform helps factory teams stay agile and resilient in a world of frequent disruptions, turning complex production scenarios into formal optimization problems.

The candidate will translate real supply-chain situations into optimization models, prototype alternative approaches, and work with engineers to industrialize outputs for the Pelico orchestration platform.

Qualifications

• Background in Operations Research, Applied Mathematics, Industrial Engineering, or equivalent.
• Experience with production-grade optimization (MILP/LP/CP).
• Ability to balance precision, speed and memory trade-offs at large scale.
• Hands-on production coding; Kotlin/JVM a plus or quick learner.

Responsabilités

• Translate complex, real-world supply-chain situations into formal optimization models—deciding what to capture, what to simplify, and what 'good' means before reaching for a solver.
• Prototype and de-risk: explore competing approaches, build proofs of concept, and validate feasibility and value early to commit to directions that hold up and discard those that do not.
• Industrialize—make algorithms consumable. A model only creates value once it's served, integrated, and reliable. Work with software engineers to expose results, build data pipelines, and design outputs that can be consumed by the UI, human users, and agents on the Pelico orchestration platform.
• Own the trade-offs. Navigate the tension between optimality, runtime/performance, and explainability—an optimal but opaque result will not be adopted.
• Earn adoption. Drive algorithms from 'correct' to trusted: validate against baselines, agree on KPIs, and iterate when users challenge output. Acceptance is a deliverable, not an afterthought.
• Collaborate to obtain missing data and signals. Work across product, engineering, operations, and sometimes directly with customers to ship results into the product.
• Build for scale and impact. Design solutions that hold up in very large environments and keep them anchored to outcomes like revenue, OTD, and inventory costs.

Connaissances

Optimization (MILP/LP/CP)

Kotlin/JVM

Performance at scale

Data-driven decisions

Cross-functional collaboration

Formation

Operations Research / Applied Mathematics / Industrial Engineering

Description du poste

Pelico is building the factory of the future where disruptions are avoided and value captured. Our platform helps factory teams stay agile and resilient in a world of frequent disruptions, turning complex production scenarios into formal optimization problems.

The candidate will translate real supply-chain situations into optimization models, prototype alternative approaches, and work with engineers to industrialize outputs for the Pelico orchestration platform.