Data scientist | Operations research

Xebia
Amsterdam, Netherlands
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Machine Learning Open Source Technology Apache Spark Kubernetes Real Time Data Apache Kafka

Job description

We’re looking for a Senior Data Scientist to join our growing Data team working at the intersection of Data Science and Machine Learning Engineering. As part of this team, you’ll turn that data into tools and models that help crews and planners make better, faster decisions and build sustainable solutions for the aviation of the future.

This isn’t a role about isolated proof-of-concepts. The focus is on getting models robust and running at scale in a live environment: from analysis and model development through to testing, monitoring and maintaining them once they’re actually in use.

What you’ll work on

  • Extracting insights from fast-growing operational and flight data sources
  • Building and productionizing AI/ML models that predict flight delays, optimize maintenance planning, and support smarter crew scheduling.
  • Contributing to large-scale optimization and simulation projects
  • Developing tools that make complex operational processes more transparent for planners and crews, supporting faster decision-making
  • Working with real-time data and smart calculations to improve the passenger and crew experience

Requirements

From a personal perspective, you are customer focused and have a strong can-do mentality. You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have:

A background in Data Science, Business Analytics, or Operations Research

4-6 years of work experience as a Data scientist or ML

Hands-on experience with both the Data Science side (modeling, analysis) and the Machine Learning side, including getting models into production

Knowledge of open-source technologies like Spark, Kafka, Airflow or Kubernetes

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Good distractions

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