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

ILIAS Solutions; Almere; On-site; EUR 60,000 - 80,000; Full time

Job summary

ILIAS Solutions is looking for a skilled data scientist to develop analytical solutions that translate complex operational data into decisions supporting mission readiness. Located in Almere, Flevoland, the ideal candidate will have over 5 years of experience in Data Science, strong programming skills in Python, and familiarity with simulation and optimization modeling. You'll support logistics and maintenance planning, working collaboratively across teams to enhance operational performance while navigating complex datasets.

Qualifications

• 5+ years of experience in Data Science, Operations Research or similar roles.
• Strong programming skills in Python.
• Experience with mathematical optimization (CPLEX preferred or similar solvers).
• Experience working with sensor or time series data.

Responsibilities

• 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.

Skills

Python programming

Simulation modeling

Mathematical optimization

Data analysis

Systems thinking

Analytical mindset

Tools

CPLEX

SimPy

pandas

NumPy

matplotlib

scikit-learn

Job description

Opportunity

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.

Meaningful Work in a Mission Driven Environment

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

Complex Challenges, Clear Solutions

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.

The Impact You Help Create

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.

Your Mission

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

Support Core Defense Capabilities

• 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

What You Bring

• 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

Systems Thinking and Analytical Strength

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

Working Across Teams and Functions

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