We are looking for a future Data Scientist (m/f/d) in the Advanced Analytics area of ​​the Analytics, Data & AI department.

As a Data Scientist (m/f/d), you will work at the interface between data, technology, and business. You will analyze complex datasets, develop models to predict behavior and outcomes, and support data-driven decisions in various business areas – from marketing and sales to operations.

• Analysis of large, structured and unstructured datasets from various sources (e.g., CRM systems, web analytics, internal databases, external APIs)
• Development and application of machine learning algorithms and statistical models for the prediction, classification, and optimization of business processes.
• Creation of dashboards, reports, and interactive visualizations to support data-driven
• Decisions – for departments and management
• Use of modern tools and technologies: from Python (e.g., scikit-learn, pandas, XGBoost, TensorFlow/Keras, PyTorch) to R (e.g., tidyverse, shiny) to SQL and Power BI
• Continuous development of your skills – through training, your own research, open-source contributions and
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We are looking for a future Data Scientist (m/f/d) in the Advanced Analytics area of ​​the Analytics, Data & AI department.

As a Data Scientist (m/f/d), you will work at the interface between data, technology, and business. You will analyze complex datasets, develop models to predict behavior and outcomes, and support data-driven decisions in various business areas – from marketing and sales to operations.

• Analysis of large, structured and unstructured datasets from various sources (e.g., CRM systems, web analytics, internal databases, external APIs)
• Development and application of machine learning algorithms and statistical models for the prediction, classification, and optimization of business processes.
• Creation of dashboards, reports, and interactive visualizations to support data-driven
• Decisions – for departments and management
• Use of modern tools and technologies: from Python (e.g., scikit-learn, pandas, XGBoost, TensorFlow/Keras, PyTorch) to R (e.g., tidyverse, shiny) to SQL and Power BI
• Continuous development of your skills – through training, your own research, open-source contributions and