Data is our passion.
Our DAA – Data, Analytics & AI - department builds scalable data and AI solutions for e-commerce, CRM/Marketing, supply chain & customer service.
In our AI, Automation & Robotics (AAR) team, you will work on impactful data products, from forecasting & recommender systems to GenAI and process and agent automation. We will define your focus (e.g., forecasting, personalization, deep learning/GenAI, business process automation) together during the process, depending on your experience and interests.
Become part of our team now and apply as a Data Scientist (m/f/d).
It goes without saying that you can take advantage of the benefits of mobile office and remote work in your job. We enable mobile working wherever the activity allows, using mobile devices and online tools.
Standort
Weiden
Berufsfeld
IT, Data Science
Einstiegslevel
Professionals
Einstiegsdatum
immediately
Beschäftigungsart
Vollzeit unbefristet
Arbeitsmodell
GleitzeitJetzt bewerben
Your tasks
1. Be responsible for the entire ML lifecycle end-to-end – from data analysis & feature engineering to modeling, deployment & monitoring
2. Develop machine learning models (e.g., DLMs/GBMs, probabilistic forecasting, recommender, NLP) as well as generative AI solutions (RAG, tool/prompt design, agents) including offline and online evaluation (e.g., A/B tests)
3. Design Azure Lakehouse architectures and build efficient pipelines for model training and deployment
4. Work closely with departments such as marketing, e-commerce, logistics, and customer service to make business value measurable
5. Take on technical responsibility through design decisions, code reviews, technical guidance, and leading initiatives
6. Document solutions in a comprehensible manner and implement requirements from evaluation, safety, and the AI Act (e.g., use case classification, risk controls)
Your profile
7. Completed studies (computer science, mathematics, data science, or similar) and several years of experience in ML/AI projects
8. Very good Python skills (pandas/numpy, scikit-learn) and experience with PyTorch or TensorFlow
9. Experience in deploying models to production (APIs, batch jobs, pipelines) and in evaluation/experiments (e.g., MLflow, A/B tests)
10. Solid knowledge of statistics/validation (uncertainties, leakage, bias)
11. Architecture experience (e.g., feature store, model serving, vector DB/RAG)
12. You communicate confidently, see yourself as a team player, and feel comfortable in a cross-functional context
13. Good knowledge of German and English
Unsere Social Media Inhalte sind in einem erweiterten Datenschutzmodus des Anbieters Youtube eingebunden, der das Setzen von Cookies solange blockiert, bis Du Deine Zustimmung zur Anzeige der Inhalte gibst. Mit Klick auf den Play-Button erteilst Du Deine Einwilligung darin, dass Youtube auf Deinem verwendeten Endgerät Cookies setzt, durch die personenbezogene Daten (z.B.: IP-Adresse, Referrer URL) an den Social-Media Provider übertragen werden.