Senior Data Scientist Hybrid/ Remote

Opportunity

The Role
We’re looking for a Senior Data Scientist with strong skills in simulation modeling, mathematical optimization, and sensor data analysis. This is a hands-on, high-impact role where you will develop analytical solutions for real-world defense scenarios — from optimizing aircraft maintenance schedules to analyzing live sensor data from naval vessels.
You’ll be joining a cross-functional team that builds scalable, data-driven products supporting mission readiness and capability management. If you enjoy combining discrete-event simulation, CPLEX optimization, and sensor analytics to answer hard operational questions, this job will suit you well.

Your mission

Key Responsibilities:

Simulation Modeling

• Design and develop discrete-event simulations using SimPy (or similar) to model logistics chains, maintenance workflows, and operational bottlenecks.
• Build simulation components that reflect real-world systems, allowing for stress testing and what-if scenarios.

Optimization (CPLEX)

• Build and solve optimization models using IBM CPLEX.
• Translate complex operational needs — such as scheduling, resource allocation, or planning — into mathematical formulations.
• If you’ve used Gurobi or other solvers before, that's fine — but you’ll need to work with CPLEX here.

Sensor Data Analytics

• Analyze high-volume, high-frequency sensor data from military platforms (air, land, sea).
• Extract signals, detect anomalies, and engineer features for predictive modeling.
• Combine time-series analytics with simulation and optimization outputs to inform decision-making.

Engineering & Collaboration

• Write clean, modular Python code with attention to performance and reproducibility.
• Collaborate with data engineers, full-stack developers, and domain experts to productionize your models.
• Share knowledge across teams and contribute to internal tooling and frameworks.

Your capabilities

What We’re Looking For/ Required Skills

• 5+ years of experience in Data Science, Operations Research, or a similar role.
• Strong coding skills in Python, including libraries like pandas, NumPy, matplotlib, scikit-learn.
• Solid experience with SimPy or any other discrete-event simulation library or tool.
• Practical experience formulating and solving optimization models with IBM CPLEX (knowledge of other solvers is welcome, but CPLEX is what we use).
• Experience working with sensor or time-series data in an applied setting.
• Strong problem-solving mindset — you enjoy turning ambiguous situations into concrete analytical approaches.

Bonus Experience

• Background in logistics, maintenance planning, systems engineering, or defense operations.
• Experience with containerized development (Docker) or distributed data tools (e.g., Apache Spark).
• Exposure to digital twins, operational dashboards, or predictive maintenance applications.
• Familiarity with working in secure or regulated environments (defense, aviation, etc.).

Land @ILIAS

Exited and ready to explore how you could fit in? 
Apply directly or reach out to tim.van.dam@Ilias-solutions.com for any questions.
we are thrilled to get to know you!