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You will be working at one of our Partner's business platforms. Here they build optimizers and machine learning models to support near real-time decision making in the complex airline operation. This means you make a direct impact on our Client's operation. For example, you could work on a simulation tool that simulates a day of operations at Schiphol to identify resource usage and bottlenecks. Or, a tool that intelligently allocates aircraft to flights so that we respond optimally to a changing reality. You’re close to anything that pushes and keeps the raftsmanship at the leading edge!
Job Responsibility:
working at one of our Partner's business platforms
build optimizers and machine learning models to support near real-time decision making in the complex airline operation
co-create with gate agents, cabin personnel and operations experts
close coordination with data scientists, operations research experts and other engineers in an agile product team
coaching your (Data Scientist) teammates in the intricacies and best practices of software engineering, CI/CD, API design
Designing the right architecture together with senior software engineers and evaluate technology choices
spend 10% of your time learning new things, doing research and developing yourself
Requirements:
preferably Bachelor degree or higher in Computer Science, Software Engineering or other relevant fields
prior experience with Python and its ecosystem
experience with databases and SQL
experience with building APIs and knowledge of REST API best practices
knowledge of continuous integration/continuous deployment techniques
proficient with automated testing
experience with bringing (data science and/or operations research) models to production and supporting data scientists in industrializing their code
Nice to have:
affinity with Operations Research and/or Machine Learning concepts