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Data scientist (all genders)

Eurowings Digital GmbH
Data Scientist
Inserat online seit: 19 Dezember
Beschreibung

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.

Tasks

What you'll do

1. Create data products and deliver insights that support the goals and ambitions of Eurowings Digital and Eurowings Group Operations
2. Identify, evaluate, forecast, and provide recommendations on the optimization of Ops processes including aircraft, airport and crew areas
3. 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
4. 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
5. 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

Behind the scenes

Meet the Eurowings Digital Team!

We are dreamers, doers, and enthusiast!

Requirements

What you'll need

6. University degree in Computer Science, Mathematics, Economics or any STEM related field
7. 3-5 years professional experience as a Data Scientist
8. Solid understanding of Python, SQL (complex joins, window functions) and core data science libraries
9. Can independently train, validate and interpret regression, classification and time series models
10. Able to assess performance, understand trade-offs (e.g. precision vs recall) and perform basic hyperparameter tuning
11. Comfortable with feature engineering, data cleaning and managing data leakage and overfitting
12. Familiarity with evaluation metrics for classification, regression, and time series
13. Experience with ML techniques including decision trees, random forests, logistic regression, and time series forecasting
14. Experience with MLOps practices
15. Proficiency with SHAP and/or LIME for model explainability

What you'll bring

16. Solid stakeholder and communication skills
17. Strong prioritization and self-management skills
18. The ability to think strategically about business, product and technical challenges

Company

About Eurowings Digital GmbH

We want to unfold the world to our customers. Eurowings Digitals mission is to deliver the most convenient and affordable end2end travel experience by connecting the physical and digital world. While our customers enjoy their journey, we take charge of a carefree travel experience. Not only offering quality flights for affordable prices, but being a travel companion all along the way. From their first inspiration to their favorite travel memories. Therefore we launched a whole new company which puts their customer into their total focus. Together we are going to discover, develop and test new products along the whole customer journey, on- and offline. In agile and diverse teams we will revolutionize the way of travelling.

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