Senior Data Scientist / MLOPS

About the Position

Senior Data Scientist | Amsterdam | Hybrid

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.

Responsibilities

• 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

• 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

We Offer

💰 Good salary

🛫 25 vacation days

📊 Technical trainings & Innovation days for a full year (every week)

✅ Challenging assignment

💻 Macbook and Iphone

🍎 Lunches, amazing coffee, and snack bar

🎒 Flexibility in working from home & at the office in Amsterdam

Application Process

• First interview with one of our Recruitment consultants
• Technical interview with one of our Technical leads

We aim to complete an application process (from application to offer) within 1-3 weeks.

About the Company

Interested? We’d love to meet you! Please get in touch! Contact Samantha Alves Goncalves at [email protected] or by phone at 0613889770.