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# (Senior) Data Scientist

- **Company:** Josef Witt GmbH
- **Location:** Weiden in der Oberpfalz, Germany
- **Experience:** Expert
- **Salary:** €56,000.0 - €68,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Microsoft Azure, Code Review, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Recommender Systems, Tensorflow, Feature Engineering, Pytorch, Pandas, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** August 27, 2026
- **Apply:** https://www.xing.com/jobs/weiden-senior-data-scientist-146054620

## About the Role

* Abgeschlossenes Studium (Informatik, Mathematik, Data Science o. ä.) und mehrjährige Erfahrung in ML/AI-Projekten
 * Sehr gute Python-Skills (pandas/numpy, scikit-learn) und Erfahrung mit PyTorch oder TensorFlow
 * Praxis im Produktivsetzen von Modellen (APIs, Batch-Jobs, Pipelines) und in Evaluation/Experimenten (z. B. MLflow, A/B-Tests)
 * Fundierte Kenntnisse im Bereich Statistik/Validierung (Unsicherheiten, Leakage, Bias)
 * Architektur-Erfahrung (z. B. Feature Store, Model-Serving, Vector DB/RAG)
 * Du kommunizierst sicher, siehst Dich als Teamplayer und fühlst Dich im cross-funktionellen Kontext wohl
 * Gute Deutsch- und Englischkenntnisse

## Description

* Full-timeEmployment type: Full-time
 * €56,000 - €68,000 (XING estimate)
 * Hybrid, * Verantworte den gesamten ML-Lifecycle End-to-End - von Datenanalyse & Feature-Engineering über Modellierung bis hin zu Deployment & Monitoring
 * Entwickle Machine-Learning-Modelle (z. B. DLMs/GBMs, probabilistisches Forecasting, Recommender, NLP) sowie Generative-AI-Lösungen (RAG, Tool-/Prompt-Design, Agenten) inkl. Offline- und Online-Evaluation (z. B. A/B-Tests)
 * Gestalte Azure-Lakehouse-Architekturen und baue effiziente Pipelines für Modelltraining und -bereitstellung
 * Arbeite eng mit Fachbereichen wie Marketing, E-Commerce, Logistik und Customer Service zusammen, um Business Value messbar zu machen
 * Übernehme technische Verantwortung durch Design-Entscheidungen, Code-Reviews, technische Guidance und das Leiten von Initiativen
 * Dokumentiere Lösungen nachvollziehbar und setze Anforderungen aus Evaluation, Safety und dem AI Act um (z. B. Use-Case-Klassifizierung, Risiko-Kontrollen)


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