Principal Data Scientist, Enterprise AI & Semantics

SAP; Palo Alto (CA); On-site; USD 198,000 - 420,000; Full time

Job summary

SAP Data Labs is building the data, semantic, and decision-intelligence foundation for SAP’s next generation of autonomous supply-chain capabilities. You'll work with large-scale planning and execution data, transforming it into governed decision context to enable AI agents to understand disruptions and act within enterprise guardrails across planning, manufacturing, and logistics.

Join a collaborative team of domain experts, data engineers, ML engineers, and application teams to advance SAP's

Qualifications

• 8+ years in knowledge engineering or AI/data science.
• Master's or PhD in CS, math, statistics, engineering or related field.
• Experience designing enterprise ontologies and semantic models; graph queries.

Responsibilities

• Design and maintain enterprise ontologies and semantic models.
• Build RAG pipelines, embeddings, vector databases and grounding.
• Develop generative AI and LLM-based solutions using enterprise data.
• Ground AI solutions in SAP data models and process semantics.
• Collaborate across product, engineering and business teams to ship solutions.

Skills

Knowledge engineering

Semantic data

Applied AI

Python

SQL

ML frameworks

Cloud platforms

Communication

Education

MS/PhD in CS/Engineering

Tools

SPARQL

Cypher

GQL

Job description

SAP Data Labs is building the data, semantic, and decision-intelligence foundation for SAP’s next generation of autonomous supply-chain capabilities. You'll work with large-scale planning and execution data, transforming it into governed decision context to enable AI agents to understand disruptions and act within enterprise guardrails across planning, manufacturing, and logistics.

Join a collaborative team of domain experts, data engineers, ML engineers, and application teams to advance SAP's