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Data Scientist (all genders)

Eurowings Digital GmbH -
Köln

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 23 Stunden

Qualifikationen

Power BI
Azure
Informatik
Kubernetes
Git
Google Cloud Platform
Tableau
Master
AWS
Docker
APIs
Webservice
A/B-Test
Kafka
Python

Vollständige Stellenbeschreibung

Job overview

As a Data Scientist (all genders) you are a key member of the Data Science team, responsible for creating developing data-driven products/solutions and building Machine learning/AI algorithms to improve sales, generate efficiencies and optimize existing processes across Eurowings commercial disciplines.

What you will do

Design, develop, and deploy machine learning and AI solutions that solve commercial problems across pricing, demand, and revenue optimization
Own model quality end-to-end — monitor performance, improve accuracy, ensure explainability, and quantify business impact throughout the model lifecycle
Collaborate with Business Analysts, Data Engineers, Revenue Management, and Subject Matter Experts to deliver production-grade data products
Identify opportunities where emerging techniques (GenAI, advanced forecasting, optimization) can create measurable business value — and build them

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

Job Title

Data Scientist

What you will need

University degree (preferably Master's) in Economics, Computer Science, or a STEM-related field
4–5 years of professional experience as a Data Scientist or ML Engineer
Solid understanding of Python, SQL (complex joins, window functions), and core data science libraries (Pandas, Scikit-learn, Matplotlib, XGBoost)
Proficiency with Databricks or similar lakehouse/notebook platforms
Familiarity with BI tools such as Power BI or Tableau
Ability to select and justify modeling approaches based on data characteristics, business constraints, and interpretability requirements
Understanding of model performance trade-offs (e.g., precision vs. recall) and hyperparameter tuning
Experience with feature engineering, data cleaning, and managing data leakage and overfitting
Experience with constrained optimization models
Experience building RAG pipelines or integrating LLMs into production workflows (prompt engineering, evaluation, orchestration)
At least 2–3 years of experience with MLOps practices and experiment tracking (e.g., MLflow)
Experience working with at least one cloud platform (AWS, GCP, or Azure)
Strong ability to communicate complex findings to non-technical stakeholders
Strong analytical thinking with a commercial mindset — able to start from a blank canvas and create measurable value

What you will bring

Curiosity to dig into unfamiliar business domains and ask "why" before jumping to modeling
A bias toward pragmatic solutions — shipping an 80% model fast over perfecting one in isolation
Comfort navigating ambiguity — translating vague business problems into structured analytical approaches
Ownership of data quality — you question the data before trusting the output
Ability to manage competing stakeholder priorities and align on what's worth solving
Self-direction — you don't wait for a ticket to identify and pursue high-impact work
Willingness to challenge assumptions, including your own

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
Knowledge of version control (Git)
Experience building end to end AI applications

Inclusivity

all genders

Workplace type

Hybrid

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.

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