ESPEC NAVEGACAO
Core
Develop and implement optimization models for ship allocation, loading schedules, and fleet sizing to support maritime logistics and iron ore transport decisions.
Role type
Senior Operations Research Engineer (Maritime Logistics)
Builds
Optimization models, quantitative scenario analyses, and analytical tools for fleet management.
Domain
Mining / Maritime Logistics / Supply Chain
Deliverable
production ML models | dashboards & analysis
Required skills
Operations Research (Linear/Mixed Integer Programming, Network Optimization), Data Science, Machine Learning, Python, SQL, Predictive Modeling, Maritime Logistics, Supply Chain Planning, Risk Analysis, KPI Management
Preferred skills
Postgraduate degree in Operations Research, Supply Chain, Analytics, or Data Science
Technologies
Python, SQL, Power BI
Responsibilities
Develop and implement optimization models for ship allocation, loading schedules, and fleet sizing. Conduct quantitative analyses of logistics scenarios evaluating impacts on costs, capacity, emissions, service levels, and fleet utilization. Apply Data Science and Machine Learning techniques to support supply chain decisions connected to transoceanic iron ore transport. Support the development of simulators, algorithms, and analytical tools with specialized consultants. Monitor ship performance indicators to identify opportunities for improving productivity, speed, fuel consumption, and logistics efficiency. Integrate data from maritime operations, freight markets, weather, ports, and contracts to generate optimization recommendations. Collaborate with Operations, Chartering, Integrated Planning, Naval Engineering, Technology, and Business teams. Support digitalization, automation, and AI initiatives applied to fleet management. Prepare executive analyses, feasibility studies, and recommendations to support leadership decision-making.
Seniority
Senior, hands-on IC (via careerplan.io/jobs/43348523-espec-navegacao-at-vale)
