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Stellendetails zu: Data Scientist (all genders)

Data Scientist (all genders)

Kopfbereich

Angebotsart: Arbeit
Arbeitgeber: Deutsche Lufthansa AG

Arbeitsort

Köln

Anstellungsart

Vollzeit, Teilzeit (Vormittag, Nachmittag, Abend)

Beginn

ab sofort

Berufsbezeichnung

  • Data Scientist

Stellenbeschreibung

What you'll 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

Ihr Profil:

What you'll need

  • University degree in Computer Science, Mathematics, Economics or any STEM related field

  • 3-5 years professional experience as a Data Scientist

  • Solid understanding of Python, SQL (complex joins, window functions) and core data science libraries

  • 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

  • Experience with ML techniques including decision trees, random forests, logistic regression, and time series forecasting

  • Experience with MLOps practices

  • Proficiency with SHAP and/or LIME for model explainability

What you'll bring

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