Senior Data Scientist | Simulation, Optimization & Sensor Analytics | Almere, Netherlands

Develop analytical solutions that translate complex operational data into decisions that support mission readiness.

At ILIAS A&D BV part of the ILIAS Group you work within the Defense Capability Management unit. You design models and analytical solutions that support logistics maintenance planning and operational performance.

You work with data from aircraft naval systems and sensor driven environments. This includes use cases such as maintenance optimization predictive insights and scenario simulation where models directly support real world decisions.

Your work supports systems that enable operational readiness. You develop models that help organizations plan optimize and respond to real operational conditions.

You work with complex datasets that combine sensor data operational inputs and system constraints. Data is often incomplete fragmented or evolving requiring structured thinking and strong modeling skills.

You design simulations build optimization models and analyze time series data to support decisions in logistics maintenance and operations.

You improve planning increase asset availability and support better decision making. Your work helps organizations operate more efficiently in environments where timing and reliability matter.

You design and develop analytical models that support operational decision making across complex systems.

Build simulation models using tools such as SimPy or similar frameworks
Develop and solve optimization models using CPLEX or comparable solvers
Analyze sensor and time series data to extract actionable insights
Translate operational challenges into structured analytical approaches
Work with Python using libraries such as pandas NumPy matplotlib and scikit-learn
Integrate models into applications and workflows together with engineering teams
Validate and improve models based on real world data and feedback

Fleet Management through optimization of maintenance and asset availability
Expeditionary Operations through simulation of operational scenarios and constraints
Total Asset Visibility through analysis of sensor and system data
MRO and Sustainment through predictive models and maintenance optimization

5 years of experience in Data Science Operations Research or similar roles
Strong programming skills in Python
Experience with simulation modeling (e.g. SimPy or similar)
Experience with mathematical optimization (CPLEX preferred or similar solvers)
Experience working with sensor or time series data in applied environments
Ability to translate complex and ambiguous problems into structured models
Experience working with data from logistics maintenance or system driven environments
Familiarity with scalable environments including containerization or distributed data processing
Strong analytical mindset and structured way of working

You understand how systems data and constraints interact. You design models that reflect real world complexity and support reliable decision making.

You work with engineers product teams and domain experts. You align analytical models with operational needs and ensure that solutions are usable in practice.

You deepen your expertise in simulation optimization and advanced analytics. You work on complex problems where data systems and operations come together.

At ILIAS A&D BV you contribute to solutions that support logistics maintenance and operational performance.

At ILIAS learning is embedded in the way we work.
Development takes place through hands on work with complex datasets supported by structured guidance and collaboration with experienced teams.

As capability grows so does your impact.

You help shape how organizations use simulation optimization and data science to improve operations. Your work supports long term capability and performance.

Ready to solve complex operational challenges through data science and analytical modeling

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