(Senior) ML Engineer / Data Scientist Customer Data (m/w/d)
Core
Develop and maintain customer-centric data and feature models serving as the foundation for ML, CRM, and analytics applications across the Deichmann group.
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 models.
Domain
Retail / Customer Analytics / Machine Learning
Deliverable
production ML models
Required skills
SQL, Python, Feature Engineering, ML Pipelines, MLOps, Data Governance, CI/CD, Architecture Patterns
Preferred skills
PhD, Experience with Databricks, MLflow, Airflow
Responsibilities
Process structured, semi-structured, and unstructured data to design scalable data structures; Develop model-robust ML features with a focus on time consistency and productive inference; Ensure consistency, versioning, and data governance for customer features; Evaluate new use cases and translate business requirements into feature concepts; Support teams from PoC to production deployment.
Seniority
Senior, hands-on IC
