Data Scientist (all genders) - Hybrid

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. 

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 improve sales, generate efficiencies and optimize existing processes.

What you'll do

• Create data products and deliver insights that support the goals and ambitions of Eurowings Digital and Eurowings Group
• Identify, evaluate, forecast, and provide recommendations on the optimization of our prices and products. Bring value in terms of personalized offerings, revenue and costs
• Work constantly on the accuracy, reliability and success rate of our data products. Monitor and optimize our data products / MVPs on a regular basis
• Work closely with Business 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: Spark, Python, Scala, Azure Cloud, Databricks, MLflow, MS Analysis Service, MS Synapse, MS SQL

What you'll need

• University degree (preferably a Master's degree) in Economics, Computer Science or any STEM related field
• 2-4 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)
• Experience with ML techniques including decision trees, random forests, logistic regression, and time series forecasting
• Atleast 1 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'll bring

• Curiosity
• Innovation
• Problem-solving
• Communication
• Collaboration
• Self-motivation
• Adaptability
• Analytical thinking
• Data quality focus

Bonus Points

• Working knowledge of Kubernetes and Docker
• Experience with APIs (web services)
• Familiarity with stream processing frameworks (e.g., Kafka)
• Experience designing and analyzing A/B tests
• Exposure to MS Fabric
• Knowledge of version control (Git)
• Familiarity with NLP

 

We are an equal opportunity employer and value diversity at our Company

 

Eurowings Digital Benefits

 

We value your performance and offer you plenty of advantages 🎊

 

• Fly with friends and family around the world by using the entire Lufthansa and partner network
• Discover the world within 30 vacation days a year + two days off for Christmas and New Year's Eve
• Get discounts across a large range of brands (e.g. Telekom, Zalando, Apple, Sixt, Bosch…)
• With "Joblunch" from Belonio, Eurowings Digital finances up to 2 EUR of your lunch on working days!

 

Drive your career growth 🎓

 

• Evolve professionally in our agile environment by taking part in challenging projects with cutting edge technologies and a lot of personal responsibility
• Shape your career growth through regular discussions with your Team Lead and 360° feedbacks from your colleagues
• Work in a cross functional team where you gain/share knowledge every day and on regular talks like “Peer School” or “Ask the Expert”
• Every year you will get a training budget for meetups, conferences, trainings, coaching
• You can improve your (German) language skills through our online courses
• With your Linkedin Learning account you access plenty of additional trainings and courses

 

We bring a unique environment, where we make it happen 🙌

 

• We love dogs! Feels free to bring your doggo to the office :) They can "work" from our separate dog office 
• Get excited and challenge your colleagues while playing with our Playstation 5 or kickertable 
• Participate directly in the creation of our product that helps millions of customers create amazing travel memories
• Feel at home in our (English speaking) international & diverse team
• Take part in our regular team events where we celebrate all together e.g. major successes, Carnival or the end of the year!
• Feel our unique atmosphere: a start-up spirit integrated in a big company
• With our trust-based working hours, you can start and finish at a time that suits you for a harmonized work-life balance
• Our hybrid working model gives you the flexibility to keep close connections with your teammates at our offices (e.g. through onsite events), while also having the possibility to work from home
• Relocation package and personalized support (e.g. for Visa or Work Permit) will be offered for you and your family if needed
• #Trust&Commitment #Customer #Data-Driven #Performance #Do-it : join us and live our values. This already resulted in specific actions like: Fuckup nights, guided tours at the airport or strategy sprints!