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
- Problem-solving
- Communication
- Self-motivation
- 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 modelgivesyou theflexibilitytokeepcloseconnections with yourteammatesat our offices (e.g. through onsiteevents), while also havingthepossibilityto 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!
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