Data Scientist
Taikonauten
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • 🇩🇪 Germany
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
IoTPython
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonclassificationclusteringtime series analysismachine learningpredictive modelingimpact evaluation methodsdata analysishuman-centered machine learningExplainable AI
Soft skills
critical interpretationiterative modelingactionable recommendationsdata-driven decision makingcollaborationuser-centered designqualitative data integrationco-creative evaluation