Principal Data Scientist, Autonomous SCM AI

SAP SE; Bellevue (WA); On-site; USD 193,000 - 420,000; Full time

Job summary

SAP SE is seeking a Principal Data and Applied Scientist to advance the semantic and contextual foundations for SAP's autonomous SCM suite in Bellevue. You will shape ontologies and knowledge graphs that ground AI agents in enterprise data, connecting SAP data with external systems across Order-to-Cash and Procure-to-Pay processes.

You will lead design and deployment of advanced AI capabilities, including generative AI, embeddings, and RAG pipelines, while collaborating with product,

Qualifications

• Experience in knowledge engineering and semantic data systems within industry or labs.
• Strong background in applied AI and data science with production exposure.
• Proficiency in Python and SQL; hands-on with ML libraries.

Responsibilities

• Develop semantic foundations and ontologies for SAP AI agents.
• Design scalable enterprise data models across multiple domains.
• Build RAG pipelines, embeddings, and knowledge grounding.
• Deploy AI/ML solutions and ensure production readiness.
• Collaborate with product, engineering, and business teams.

Skills

Knowledge engineering

Semantic data

Applied AI

Data science

Python

SQL

Big data

Education

Master's or PhD in CS/Math/Stats/Engineering

Tools

SPARQL

Cypher

GQL

PyTorch

TensorFlow

scikit-learn

Databricks

AWS

Azure

GCP

Job description

SAP SE is seeking a Principal Data and Applied Scientist to advance the semantic and contextual foundations for SAP's autonomous SCM suite in Bellevue. You will shape ontologies and knowledge graphs that ground AI agents in enterprise data, connecting SAP data with external systems across Order-to-Cash and Procure-to-Pay processes.

You will lead design and deployment of advanced AI capabilities, including generative AI, embeddings, and RAG pipelines, while collaborating with product,