Mathematiker als Data Scientist (m/w/d)
Core
Developing and optimizing machine learning models to analyze customer behavior, preferences, and affinities to optimize marketing and sales processes for a major German auto insurer.
Role type
Senior Data Scientist (Customer Analytics & Machine Learning)
Builds
Production ML models for predictive analytics, causal inference, and personalization within the insurance domain.
Domain
Insurance / Customer Analytics / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, statistical modeling, predictive analytics, Python programming, causal inference methods, treatment effect models, hypothesis testing, data visualization
Preferred skills
Causal Inference, Uplift Modeling, Recommender Systems, Personalization solutions
Technologies
Python, Machine Learning frameworks, CRM systems, Web Analytics platforms
Responsibilities
Develop, implement, and continuously optimize data-driven models for customer journey analysis; Conceive and deploy ML, forecasting, classification, and personalization models for marketing optimization; Apply statistical procedures and causal inference methods to improve targeting and sales measures; Analyze and link large datasets from diverse sources to generate actionable business insights; Develop, test, and validate data-based hypotheses to derive scalable recommendations; Consult business units and management through analyses, dashboards, reports, and visualizations
Seniority
Senior, hands-on IC