Distinguished Data Scientist providing technical leadership for next - generation AI systems at Walmart. Driving system design and advanced solution development for impactful machine learning applications at scale.
About the role
- Data Scientist developing ML models and analyzing various data sources at Taikonauten GmbH. Contributing to user-centered product and project development in R&D team.
Responsibilities
- Analyze heterogeneous data sources (e.g., movement patterns, speech usage, interaction histories) to identify relevant usage patterns
- Develop predictive models to detect situations of need in technology-assisted everyday scenarios
- Derive and validate data-driven recommendations for action based on AI-powered systems
- Evaluate the impact of recommendations in field trials using quantitative data
Requirements
- Proven 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, particularly in social contexts
- Ability to critically interpret data models within their broader social context
- Willingness to engage in iterative modeling closely tied to real user contexts
- German language proficiency at C1 or C2 level is mandatory
- Experience with Explainable AI in the context of behavioral decisions is desirable but not required
- Experience analyzing smart-home or IoT data
- Foundational knowledge 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 opportunities, actively supported and encouraged
- Room for personal responsibility and the freedom to pursue your own 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
Tech skills
Location requirements
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