Analyze heterogeneous data sources (e.g., movement patterns, voice usage, interaction logs) to identify relevant usage patterns
Develop predictive models to detect need situations in technology-supported everyday scenarios
Derive and validate data-driven recommendations for action based on AI-supported systems
Evaluate the impact of recommendations in field trials using quantitative data

Significant experience modeling human behavioral patterns or contextual data
Proficiency in Python and libraries for classification, clustering, and time series analysis
Familiarity with impact evaluation methods, particularly in social contexts
Ability to interpret data models in a critically reflective manner within a societal context
Willingness to conduct iterative modeling closely grounded in user reality
German language skills at C1 or C2 level are mandatory
Nice to have, but not required: experience with Explainable AI in the context of behavioral decision-making; knowledge of Smart Home or IoT data analysis; foundation in human-centered machine learning; ability to integrate qualitative data (e.g., diary studies) into quantitative models; experience with co-creative evaluation processes

Passionate colleagues in an open company culture with flat hierarchies
Professional and personal development supported and encouraged
Room for personal responsibility and your own ideas
Flexible and family-friendly working hours
A passionate team actively shaping a socially and environmentally conscious future

Data Scientist

Key skills