Data Scientist developing ML models for predicting behavior patterns. Working in an innovative R&D team focused on human-centered technology solutions in Berlin.
Responsibilities
You extract relevant knowledge from diverse data sources
Develop ML models to predict behavior patterns
Analyze heterogeneous data sources to identify relevant usage patterns
Develop predictive models to identify situations of need
Derive and validate data-driven, actionable recommendations
Evaluate the impact of recommendations in field trials using quantitative data
Requirements
Significant experience modeling human behavior patterns or contextual data
Proficiency in Python and libraries for classification, clustering, and time series analysis
Familiarity with impact evaluation methods, especially in social contexts
Ability to interpret data models critically within their social context
Willingness to perform iterative modeling closely grounded in users' real-world contexts
Nice to have, but not required: experience with Explainable AI in the context of behavioral decision-making
Experience analyzing smart home or IoT data
Foundations in human-centered machine learning
Ability to integrate qualitative data (e.g., diary studies) into quantitative models
Experience with co-creative evaluation processes
Benefits
Passionate colleagues in an open company culture with flat hierarchies
Professional and personal development—both supported and encouraged
Room for autonomy and ownership of your ideas
Flexible and family-friendly working hours
A passionate team actively shaping a socially and environmentally conscious future
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