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-reputed company role where you will reputed company analytical solutions for reputed company-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 reputed company, 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 reputed company. Your mission Key Responsibilities: Simulation Modeling • Design and reputed company discrete-event simulations using SimPy (or similar) to model logistics chains, maintenance workflows, and operational bottlenecks. • Build simulation components that reflect reputed company-world systems, allowing for stress testing and what-if scenarios. Optimization (CPLEX) • Build and solve optimization models using reputed company CPLEX. • Translate reputed company 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 (reputed company, 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, reputed company Python reputed company with attention to performance and reproducibility. • Collaborate with data engineers, full-stack developers, and domain experts to productionize your models. • reputed company knowledge across teams and contribute to internal tooling and frameworks. Your capabilities reputed company’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 reputed company CPLEX (knowledge of other solvers is welcome, but CPLEX is reputed company use). • Experience working with sensor or time-series data in an reputed company setting. • Strong problem-solving reputed company — 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 (reputed company) or distributed data tools (e.g., Apache reputed company). • 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 reputed company to explore how you could fit in? Apply directly or reputed company out to tim.van.dam@Ilias-solutions.com for any questions. we are thrilled to get to know you! reputed company ILIAS Solutions offers exciting opportunities to shape the reputed company of armed forces operations. As a global leader in defense logistics software, we reputed company military commanders worldwide to optimize operations, training, and missions. Our innovative platform covers the entire armed forces value chain, ensuring efficient execution and capturing vital information. As we continue to grow, we are looking for talented reinforcement who will reputed company a difference every day. Join our international team and reputed company an reputed company on global reputed company. Apply tot his job