Job overview

As a Data Scientist (all genders) you are a key member of the Data Science team, responsible for creating analytical insights, developing data-driven products/solutions and building Machine learning/AI algorithms to increase efficiencies and productive in an airline Operations environment.

What you will do

• Create data products and deliver insights that support the goals and ambitions of Eurowings Digital and Eurowings Group Operations
• Identify, evaluate, forecast, and provide recommendations on the optimization of Ops processes including aircraft, airport and crew areas
• Work constantly on the accuracy, reliability and success rate of our Ops data products. Monitor and optimize our data products / MVPs on a regular basis
• Work closely with Business Analysts, Product Owners, Data Analysts, Data Engineers and other colleagues to deliver the best data products and processes end-to-end
• Keep track of the latest trends of the data science toolbox. Make our data products better by applying these new trends

Our Tech Stack: PySpark, Python, Databricks, Azure Cloud, MLflow

Job Title

Data Scientist

What you will need

• University degree (preferably a Master's degree) in Computer Science, Mathematics, Economics or any STEM related field
• 3-5 years of professional experience as a Data Scientist 
• Solid understanding of Python, SQL (complex joins, window functions), and core data science libraries (e.g., Pandas, Scikit-learn, Matplotlib, XGBoost) 
• Proficiency with Jupyter notebooks or notebooks on Databricks  
• Can independently train, validate, and interpret regression, classification, and time series models 
• Able to assess performance, understand trade-offs (e.g., precision vs recall), and perform basic hyperparameter tuning  
• Comfortable with feature engineering, data cleaning, and managing data leakage and overfitting  
• Familiarity with evaluation metrics for classification, regression, and time series (e.g., MAPE, RMSE, F1-score, R2 score) 
• Experience with ML techniques including decision trees, random forests, logistic regression, and time series forecasting  
• Preferrably 2-year Experience with MLOps practices
• Proficiency with SHAP and/or LIME for model explainability 
• Experience working with at least one cloud platform (AWS, GCP, Azure)
• Familiarity with BI tools such as Power BI, Tableau, or similar 
• Basic knowledge of CI/CD workflows and Docker (nice to have) 
• Experience working with recommendation engines, dynamic pricing, forecasting, Customer data is a plus
• Strong ability to communicate insights to non-technical stakeholders

What you will bring

• Experience in managing multiple stakeholders at the same time
• Strong prioritization and self-management skills
• The ability to think strategically about business, product and technical challenges
• Outstanding communication skills where you give recommendations to cross-functional team members
• A proactive approach to your work

Bonus Points: 

• Working knowledge of Kubernetes and Docker
• Experience with APIs (web services)
• Experience in Airline or Airport Operations environments
• Experience in building data products and AI products that support Operations / Logistics
• Familiarity with stream processing frameworks (e.g., Kafka)
• Experience designing and analyzing A/B tests
• Exposure to MS Fabric
• Knowledge of version control (Git)

Inclusivity

all genders

Workplace type

At Eurowings Digital, we operate a hybrid working model that combines remote work flexibility with in-office collaboration to support both productivity and team connection.

Apply now!

Please submit the latest version of your resume in English.

About us

We are dreamers, doers, and enthusiasts! 

Our mission is to enable our customers on leisure and/or business travel to enjoy a seamless travel booking experience from the tip of their fingers. Therefore, we are continuously working passionately on providing diverse and attractive offers on our online booking platforms Eurowings & Eurowings Holidays and mobile Apps to empower our customers with relevant information and smart digital services throughout their travel experience.