Data Scientist Level

- Stages - - Vakgebieden - - Beveiliging - - Facilitair - - Horeca - - Hospitality - - Kantoor - - Logistiek cargo - - Werken in de cargo - Logistiek vluchtafhandeling - - Retail - - Techniek - - Vervoer - - Werken in vervoer & transport Data Scientist Level 2 Overig • Schiphol Centrum • Wo Amsterdam Airport Schiphol is one of Europe's busiest hub airports, where KLM handles thousands of transfer passengers and their baggage every day. With over 70% of KLM traffic consisting of connecting passengers, the inbound baggage operation runs under constant time pressure: bags must be routed from arriving aircraft to the correct baggage halls, sorted, and loaded onto onward flights - all within tight connection windows. This is a combinatorial optimization challenge of significant scale. Every few minutes, the system must evaluate hundreds of incoming flights, assign transport devices (containers and bulk carts) to drivers, allocate baggage flows across multiple hall infeeds, and respect hard constraints such as hall capacity, driver availability, and flight departure times - while minimizing the risk and cost of mishandled baggage for passengers with short connections. Manual planning and rule-based heuristics are no longer sufficient at this complexity and speed. As a Data Scientist on the BagPRO team, you will work on the mathematical optimization models that power this decision engine, improve solver performance (Gurobi), refine cost functions based on mishandled baggage risk, and translate operational constraints into model logic that drives measurable improvements in ground handling performance. But it does not end there. You might work on an innovation project in KickstartAI (), contribute to our partnerships with various universities to drive innovation and research, or play a fundamental role in our community of practice for data science. What will you do? - Develop and maintain mathematical optimization models...