Omschrijving
For the Royal Schiphol Group we are looking for a Data Scientist – Team Delphi:
Opdracht-inhoud
Shape the future of airport operations with datadriven forecasting.
Team Delphi plays a central role in predicting passenger flows across Schiphol Airport. These forecasts directly influence day-to-day operations as well as long-term strategic decisions. As a Data Scientist, you help ensure that millions of passengers can travel smoothly through one of Europe’s busiest airports.
You’ll join a multidisciplinary environment where data scientists, machine learning engineers, architects and business stakeholders work closely together. Your models will not only be accurate — they will be deployed, monitored and continuously improved in production at a scale few organizations can match.
Your role
As a Data Scientist, you develop and operationalize forecasting models that support planning and decision-making across Schiphol. You work with modern cloud-native tooling and contribute to the landscape of our evolving forecasting and ML infrastructure.
Verantwoordelijkheden
- Developing, productionizing and supporting machine learning models and data pipelines for forecasting
- Implementing monitoring and observability to ensure model reliability and performance
- Collaborating closely with ML engineers, architects and business stakeholders to deliver effective solutions
- Exploring new technologies and methods to improve forecasting processes and infrastructure
- Aligning technical decisions with product strategy in close cooperation with the product owner
You’ll work with technologies such as Azure and Databricks in a dynamic environment where innovation is essential.
Team Informatie
About the team
The IT & Data department is building the airport of the future. Using advanced digital solutions, tools and applications, we keep the airport running and continuously improve passenger flows, processes and information services. Our team is enthusiastic, collaborative and driven by the impact data can make for passengers and employees.
Eisen
- HBO
- At least 5 years of relevant experience in machine learning.
- Strong programming skills in Python.
- Experience with MLOps, cloud computing and cloud platforms (preferably Azure).
- Handson experience with Databricks and running models in production.
- An analytical mindset and the ability to distinguish between main and secondary issues.
- Experience with containerized application deployment.
- Excellent communication skills; English proficiency is required.
Over de organisatie
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