Data Scientist – Customer Journey, ML & GenAI (H/F)
Core
Design and deploy ML models for customer journey optimization, including segmentation, prediction, recommendation systems, and GenAI-driven insights to improve digital user experiences.
Role type
Senior Data Scientist (Customer Analytics & GenAI)
Builds
Production ML models, recommendation engines, and automated analytics modules for digital customer journeys.
Domain
Digital Marketing, E-commerce, Customer Analytics
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, NLP, LLM, SQL, Snowflake, Dataiku DSS, Feature Engineering, Model Interpretability (SHAP), Recommendation Systems, Time Series Forecasting, Multi-touch Attribution
Preferred skills
Customer Journey Optimization, Marketing Digital, E-commerce, Clustering, Object-Oriented Programming
Technologies
Python, Jupyter, SQL, Snowflake, Dataiku DSS, SHAP
Responsibilities
Design clustering and behavioral segmentation models; Develop predictive models for conversion, churn, and scoring; Build personalized recommendation systems; Implement multi-touch attribution models; Engineer features and ensure model interpretability; Prototype new approaches and industrialize them into maintainable Python modules; Define KPIs to track funnel and engagement performance.
Seniority
Senior, hands-on IC