(Senior) Data Scientist Customer Analytics (m/w/d)
Core
Develop, implement, and optimize algorithms for predictive modeling, 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, data gap identification, data enrichment, data quality assurance, statistical analysis, machine learning, Bayesian methods, Python, SQL, data product development, stakeholder consulting, data-driven decision making.
Preferred skills
Experience in CRM or marketing environments, end-to-end ownership of data-driven products from PoC to production scale.
Technologies
Python, SQL, Databricks, MLflow, Airflow
Responsibilities
Develop and optimize algorithms for predictive modeling and personalization; analyze data across the customer lifecycle (churn, conversion, CLV); identify data gaps and ensure data quality; consult with business units and present analysis results; drive the development and introduction of new analytical data products.
Seniority
Senior, hands-on IC