(Senior) Data Scientist Customer Analytics (m/w/d)
Core
Develop, implement, and optimize predictive modeling algorithms for customer segmentation and personalization within the CRM environment to drive business decisions.
Role type
Senior Data Scientist (Customer Analytics)
Builds
Analytical data products and predictive models for CRM, marketing, and customer lifecycle management
Domain
Retail / E-commerce / Customer Analytics
Deliverable
production ML models | product features
Required skills
Predictive modeling, Customer segmentation, Churn prevention, Customer Lifetime Value (CLV) forecasting, Statistical analysis, Machine Learning, Bayesian methods, Python, SQL, Data product ownership (PoC to scale), Data quality assurance
Preferred skills
CRM or Marketing domain experience, Stakeholder advisory, Data enrichment
Technologies
Python, SQL, Databricks, MLflow, Airflow
Responsibilities
Develop and optimize algorithms for predictive modeling and personalization; Analyze data across the customer lifecycle for churn prevention and conversion optimization; Identify data gaps and ensure data quality; Advise business units and present analysis results; Drive the development and introduction of new analytical data products
Seniority
Senior, hands-on IC