Lead Supply Chain Decision Intelligence & Operations Research (Supply Chain)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead Supply Chain Decisi Intelligence & Operatis Research (Logistics): Designing optimizati, simulati, and scenario models to optimize global supply chain decisis with an accent mathematical rigor and rapid prototyping. Focus formulating real-world problems mathematically and transferring prototypes into scalable technical solutis.
hirify.global">Locati:
hirify.global">Company
is a global performance sportswear brand focused innovative running gear and high-performance athletic apparel.
What you will do
- Design and test optimizati, simulati, and scenario models for inventory, capacity, fulfillment, and demand balancing.
- Develop rapid prototypes using Pyth, SQL, and Hex to validate mathematical models with business stakeholders.
- Explore and transform complex, imperfect data to prepare model-ready datasets and document transformati logic.
- Collaborate with Data Engineering and Optimizati teams to transiti successful prototypes into scalable producti solutis.
- Build scenario planning tools to stress-test the supply chain and quantify risks and downstream impacts.
- Translate complex quantitative outputs into actiable recommendatis and trade-offs for senior leadership.
Requirements
- Strg foundatis in Operatis Research, Applied Mathematics, Industrial Engineering, or a similar quantitative discipline.
hirify.globalg>5 to 7 years of relevant experience hirify.globalg> in industry, csulting, or applied research.- Expertise in optimizati, simulati, stochastic processes, or probabilistic modeling.
- Proficiency in Pyth, R, Julia, or MATLAB, combined with strg SQL and data-wrangling skills.
- Ability to communicate complex mathematical results clearly to n-technical stakeholders.
hirify.globalg>Must be located in or able to work from Zurich, Switzerland hirify.globalg>.
Nice to have
- Experience in supply chain, logistics, manufacturing, or retail operatial envirments.
- Familiarity with tools like Gurobi, CPLEX, Pyomo, PuLP, OR-Tools, or JuMP.
- Experience transferring prototypes into a producti envirment.
- Knowledge of supply-chain metrics such as OTIF, forecast accuracy, and inventory turns.
- Interest in AI-assisted development and agentic analytical workflows.
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