Data Scientist developing advanced manufacturing process models for Bristol Myers Squibb. Involves leveraging AI and analytics tools to enhance biopharmaceutical production processes.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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