(Senior) Data Scientist (m/f/d)

Stellenbeschreibung:

Wer wir sind:

Wir, die Witt-Gruppe, sind mit unseren rund 3500 Mitarbeiter*innen ein erfolgreicher internationaler Omnichannel-Händler im Bereich Fashion und Teil der weltweit agierenden Otto Group. Mit 10 Marken, 22 Online-Shops und über 125 Filialen bewegen wir uns in einem attraktiven Wachstumsmarkt und gestalten die Shopping-Welt unserer Zielgruppe 50+.

Als prämiërter Top-Arbeitgeber bieten wir Dir die beste Zeit im Job: attraktive Zukunftsperspektiven und Entwicklungsmöglichkeiten sowie ein dynamisches und motivierendes Arbeitsumfeld voller Möglichkeiten, selbst mitzugestalten und eigene Ideen umzusetzen.

Deine Herausforderung :

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.

Was Dich erwartet:

Be responsible for the entire ML lifecycle end-to-end - from data analysis & feature engineering to modeling, deployment & monitoring
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)
Design Azure Lakehouse architectures and build efficient pipelines for model training and deployment
Work closely with departments such as marketing, e-commerce, logistics, and customer service to make business value measurable
Take on technical responsibility through design decisions, code reviews, technical guidance, and leading initiatives
Document solutions in a comprehensible manner and implement requirements from evaluation, safety, and the AI Act (e.g., use case classification, risk controls)

Was wir von Dir erwarten:

Completed studies (computer science, mathematics, data science, or similar) and several years of experience in ML/AI projects
Very good Python skills (pandas/numpy, scikit-learn) and experience with PyTorch or TensorFlow
Experience in deploying models to production (APIs, batch jobs, pipelines) and in evaluation/experiments (e.g., MLflow, A/B tests)
Solid knowledge of statistics/validation (uncertainties, leakage, bias)
Architecture experience (e.g., feature store, model serving, vector DB/RAG)
You communicate confidently, see yourself as a team player, and feel comfortable in a cross-functional context
Good knowledge of German and English