Job Summary We are seeking a talented Simulation Engineer to join our team specializing in Digital Twin Simulation and Network Optimization This role involves designing and implementing simulation models and optimization solutions to enhance warehouse logistics resource allocation and network efficiency The ideal candidate will bring robust technical expertise in Python simulation modeling and optimization techniques along with a passion for solving complex operational challenges Responsibilities Develop and maintain digital twin simulations for warehouse and logistics systems modeling system states events and resource interactions Create and optimize network models to improve flow resource allocation and operational performance Collaborate with stakeholders to integrate simulation and optimization solutions into existing workflows Analyze simulation outputs to pinpoint inefficiencies and recommend actionable improvements Write modular testable and efficient code to support simulation and optimization projects Document processes methodologies and findings for technical and non-technical audiences Must-Have Technical Skills Core Python OOP data structures algorithms writing modular testable efficient code Data Manipulation Numerical Computing pandas for cleaning analysis NumPy for computations Data Ingestion fetching from REST APIs requests and databases SQL Discrete-Event Simulation DES principles SimPy for modeling states events resources e g warehouse flows Operations Research Optimization LP MIP formulation Python libraries OR-Tools Pyomo PuLP familiarity with VRP basics and assignment problems Graph Analytics NetworkX for building analyzing network topologies and flows DevOps Version Control Git with CI CD pipelines Docker containerization API Development building deploying REST services with Flask or FastAPI Visualization creating plots and dashboards using Matplotlib Seaborn or Plotly Nice-to-Have Technical Skills Advanced Routing Heuristics VRP variants time windows Hours of Service heuristics meta-heuristics Tabu Search Genetic Algorithms Branch Bound Simulated Annealing Commercial Solvers Gurobi or CPLEX and their Python APIs ML-Enhanced Simulations integrating scikit-learn or TensorFlow PyTorch models for predictive maintenance or anomaly detection in digital twins Alternative Simulation Paradigms agent-based modeling etc Streaming IoT real-time data processing with kafka-python MQTT paho-mqtt for live twin updates Geospatial Processing Visualization GeoPandas Shapely routing engines APIs OSRM Google Maps HERE Folium for maps Interactive Dashboards Dash or Streamlit 3D Visualization pyvista or vedo for complex digital-twin renderings Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements We are happy to support your need for any adjustments during the application and hiring process If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing accommodationrequests maersk com