Senior Data Scientist (Supply Chain Management) - Data Labs (m/f/d)
Core
Build the semantic and contextual foundation for SAP's AI agents by designing enterprise ontologies, RAG pipelines, and knowledge grounding systems that transform raw business data into accurate, grounded understanding for supply chain applications.
Role type
Senior Applied Data Scientist (Supply Chain & Semantic AI)
Builds
Enterprise ontologies, semantic models, RAG pipelines, embeddings, vector databases, and AI agents for supply chain planning and execution.
Domain
Enterprise Software / Supply Chain Management / Semantic AI / Knowledge Engineering
Deliverable
production ML models
Required skills
Knowledge engineering, semantic modeling, graph query languages (SPARQL/Cypher/GQL), RAG pipelines, embeddings, vector databases, Python, SQL, PyTorch/TensorFlow/scikit-learn, cloud infrastructure (Databricks/AWS/Azure/GCP), production ML deployment
Preferred skills
SAP data models and business processes, W3C stack (OWL/RDF/SKOS), supply chain domain expertise (demand/supply planning, manufacturing, logistics), time-series analysis and forecasting, causal inference, operations research, agentic AI, reasoning frameworks
Technologies
Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, GCP, PyTorch, TensorFlow, scikit-learn, SPARQL, Cypher, GQL, RDF, OWL, SKOS
