QUALIFICATION:
Successfully completed degree at University or University of Applied Science in “Data Science” – occasionally entrance or application procedure mandatory for admission (provider-dependent) 
Key curriculum topics: Data Science / Machine Learning / Statistics / Data Security / Simulation / Business Intelligence / Algorithms / Data Modelling 

Completed degree in Computer Science / Statistics / Mathematics / Data Science or comparable qualification

ACTIVITIES:
* Development, implementation and validation of statistical models, machine learning, and deep learning solutions to answer business questions
* Preparation of data, exploratory data analysis (EDA), and hypothesis validation
* Compiling hypothesis-driven reports, dashboards, and visualizations to support management and business departments
* Collaboration with data engineers, data product owners, and stakeholders in requirements gathering, modelling, and operationalization (MLOps)
* Documentation of models, methods, and results; creation of use cases and action implications
* Monitoring of model performance, bias, and error risks; regular model audits and updates
* Participation in data governance, data protection, and compliance requirements
* Mentoring of junior data scientists, participation in research or innovation projects

OUR OFFER: 
* Challenging, responsible tasks in a growing environment
* Modern work spaces, flexible work model (hybrid/remote possible)
* Continuous training and certification opportunities 
* Attractive compensation and additional benefits 
* Company health management, and employee benefits 
* Collegiate and open working environment with flat hierarchies & short decision-making processes