Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
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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