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
Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
Data Science and AI student engaged in data processing and management. Open to candidates in Germany, starting in 2026, with supportive environment for development.
Data Scientist II providing actionable insights through advanced analytics and consulting with stakeholders at Truist. Conducting statistical analyses and developing predictive models using structured and unstructured data.
Senior Responsible AI Data Scientist focusing on ethical AI within Humana to drive responsible AI initiatives across the organization. Partnering with teams to implement innovative and compliant AI solutions in healthcare.
Director of Data Science leading the Identity fraud product development at TransUnion. Collaborating with stakeholders to build market - leading identity data products and analytic solutions.
Manager II, Data Science leading HR Analytics and developing predictive models for decision - making. Collaborating with cross - functional teams to implement data - driven solutions across the organization.
Data Manager for B2B - Mailings at ZEIT Advise, supporting the automation and segmentation of marketing processes in Hamburg. Focusing on CRM systems and email marketing strategies.
Lead Data Scientist at AT&T, building predictive models and analyzing customer lifecycle marketing strategies. Collaborating with cross - functional teams to enhance marketing and business outcomes.
Lead Data Scientist managing AI initiatives for a global IT consulting firm. Overseeing AI strategy, governance, and multidisciplinary team leadership in a hybrid work environment.