Senior Operations Research ScientistBerlin GermanyA premier international leader in the digital logistics and delivery space is seeking a high level specialist to join their mathematical optimization team. This organization manages a massive global network connecting millions of users with local partners and is looking for an expert to refine the automated systems that drive their real world operations.The core of this role involves architecting sophisticated optimization frameworks to manage supply and demand equilibrium within a complex logistics web. You will analyze immense datasets to build high performance models that function in real time. We are looking for someone capable of deploying robust optimization strategies using mixed integer programming, constraint programming, and metaheuristics to influence large scale operational choices.You will act as a bridge between predictive modeling and tactical control by partnering with data science teams to create hybrid systems where machine learning informs optimization parameters. Beyond technical execution you will serve as a mentor to junior staff and a champion for best practices in software engineering and model lifecycle management.Key ResponsibilitiesArchitecting large scale real time systems for time sensitive decision making in productionDeveloping exact optimization models and decomposition techniquesApplying robust optimization methods including stochastic and scenario based programmingUtilizing commercial and open source solvers such as Gurobi CPLEX or Google OR ToolsWriting high quality object oriented Python code for complex mathematical librariesDesigning simulation environments to validate model performanceScaling and maintaining production level models for long term stabilityCollaborating in an agile environment to pitch business cases and present insights to stakeholdersTechnical RequirementsExtensive experience with Python and optimization libraries like Pyomo or GurobiPyDeep knowledge of mathematical programming and heuristic methodsProficiency with Docker and git for reproducible developmentUnderstanding of software testing and code review standardsFamiliarity with machine learning foundationsExperience with simulation for data generation and validationKnowledge of Control Theory concepts such as feedback loops or PID is highly valuedBackground in logistics or supply chain management is an advantageProfessional AttributesA holistic systems thinker who understands the ripple effects in complex networksNatural leadership and the ability to coach developing scientistsCommitment to simple and scalable solutions for difficult problemsStrong communication skills with the ability to explain technical concepts to non technical audiencesAbility to work effectively within cross functional teamsOur client offers a vibrant and inclusive international work culture where innovation is celebrated. They provide a fast paced environment that supports professional growth and technical exploration. This is an opportunity to work on highly visible projects that impact the daily lives of millions of people globally.

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