(Senior) ML Engineer / Data Scientist Customer Data (m/w/d)
Core
Develop and operate customer-centric data and feature models as the foundation for ML, CRM, and analytics applications.
Role type
Senior ML Engineer / Data Scientist (Customer Data)
Builds
Scalable data structures (Event Models, Customer Snapshots, Feature Layer) and robust ML features for CLV, Churn, Segmentation, and Next-Best-Action.
Domain
Retail / Customer Analytics
Deliverable
production ML models
Required skills
SQL, Python, Feature Engineering, ML Pipelines, MLOps, Data Governance, CI/CD, Scalable Data Products
Preferred skills
PhD, Experience with Databricks, MLflow, Airflow
Technologies
Python, SQL, Databricks, MLflow, Airflow
Responsibilities
Process structured, semi-structured, and unstructured data; Develop model-robust ML features; Ensure consistency, versioning, and data governance; Evaluate new use cases and translate business requirements into feature concepts; Support teams from PoC to production.
Seniority
Senior, hands-on IC
