ppWe are expanding Duferco’s Corporate Innovation Team: a fast-moving team operating in a startup-like environment, backed by the stability and scale of a globally diversified group. /p pWe are looking for an bOperations Research Engineer /b: someone who works close to business teams, understands messy operational and planning problems, develops optimization models and algorithms to solve them efficiently, and turns solutions into practical tools used by a diverse range of stakeholders. /p pYou will work across domains such as energy, trading, logistics, steel, insurance, sports, and other sectors — not as an external consultant, but as part of the group itself, with the ownership and continuity of an internal product and engineering team. /p pYou will identify opportunities, prototype optimization-based tools, evaluate impact, and help deploy solutions that remove bottlenecks, improve decision-making, and create leverage across the business. /p h3About the Team /h3 pWe sit close to real business problems and have the freedom to prototype and ship quickly, with AI being already part of our daily workflow. /p pWe care about building solutions that work in the real world: useful tools, reliable and smart decisions, better workflows, and systems that create measurable impact. /p pWe appreciate people who enjoy ownership, fast iteration, pragmatic problem solving, and working directly with users to understand how things actually get done. /p h3What You’ll Do /h3 ul liDesign, build, test, and deploy optimization-based solutions for a variety of business applications /li liCollaborate closely with business and technical teams to understand needs,



formalize optimization problems, prototype solutions, measure impact, and iterate — not just execute predefined specs /li liDevelop linear, nonlinear, and mixed-integer programming models, along with heuristic and stochastic optimization methods, to enhance operational efficiency and decision-making /li liEnsure the robustness, scalability, and interpretability of optimization solutions deployed in production environments /li liResearch and evaluate emerging technologies and methodologies in operations research and mathematical optimization to drive innovation. /li /ul h3What We Offer /h3 ul liA high-autonomy role with direct influence on how optimization is applied across the group /li liReal business problems with visible impact /li liModern AI-assisted tools and time to explore new technologies and approaches /li liA fast-moving, collaborative environment with talented and ambitious people /li liA broad variety of technical and business challenges across different domains /li liCompetitive compensation and benefits /li liFlexible working hours and hybrid work setup. /li /ul h3You’re Probably a Fit If /h3 ul liYou have a master’s degree with at least 2-3 years of relevant experience, or a Ph.D. in Operations Research,



Applied Mathematics, Industrial Engineering, or a related field. /li liYou have in-depth knowledge of mathematical programming (linear, integer, etc.), various heuristic and metaheuristic approaches, and stochastic optimization methods /li liYou are proficient in optimization software (e.g., Gurobi, CPLEX, open solvers) and have strong programming skills in Python or other languages relevant to optimization and modeling /li liYou have experience in building and solving large-scale optimization models and the ability to communicate insights and trade-offs clearly to stakeholders /liliYou enjoy working close to users and business teams, understanding how work happens, and turning messy problems into useful optimization-based solutions /li liYou have proven track record of implementing optimization-based solutions in real-world settings and/or in publishing optimization-based research in Operations Research related journals /li liYou are pragmatic about using AI in the daily workflow: excited by what it can do, but aware of its limitations, failure modes, and the importance of good evaluation. /li /ul pExperience with forecasting and machine learning, structured and unstructured data, simulation, database systems, AWS, deploying tools in production environments or complex operational domains is a plus. /p pYou do not need experience with every technology and optimization method. Curiosity, analytical thinking, adaptability, and the ability to turn optimization into practical business impact matter much more. /p /p #J-18808-Ljbffr

📌 Operations Research Engineer (Milano)
🏢 Duferco
📍 Milano