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

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.

Your tasks

• 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)

Your profile

• 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

Our Benefits - for your best time on the job!

• At our company, you'll find short communication paths, a company-wide informal culture, and numerous opportunities for co‑creation and personal as well as professional development - all of which embody the Witt Spirit!
• Flexible working hours, time tracking, flexitime, and mobile office options allow you to optimize your workday perfectly for your performance.
• Work independently or with your colleagues wherever suits you best: in a co‑working space, a collaboration corner, or even on our rooftop terrace when the weather is nice. Discover our work environments here.
• Want to work abroad? No problem! With our workation offer, you can work up to 30 days a year in European countries.
• Experience team spirit through our company sports offerings while also doing something good for your health.
• Benefit not only from the Witt Group but also from the Otto Group—whether it's discounted staff sales at many corporate companies or enriching knowledge transfer.
• Become part of the Witt team and discover what else we have to offer! Spoiler: Our cafeteria team ensures a varied lunch break.

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