Data Scientist (all genders)

What you'll 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

Ihr Profil

What you'll 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 and core data science libraries


• Familiarity with BI tools


• Proficiency with Databricks or similar lakehouse/notebook platforms


• Ability to select and justify modeling approaches based on data characteristics, business constraints and interpretability requirements


• Understanding of model performance trade-offs 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


• At least 2–3 years of experience with MLOps practices and experiment tracking


• Experience working with at least one cloud platform

• Curiosity to dig into unfamiliar business domains and ask "why"


• A bias toward pragmatic solutions


• Comfort navigating ambiguity


• Ownership of data quality

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