Senior Data & AI Scientist, Enterprise Ontologies

SAP; Bellevue (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

SAP is seeking an experienced Data and Applied Scientist to build the context engine that grounds enterprise data for AI agents. You will design semantic models, integrate data across ERP landscapes, and deploy ML solutions in production.

The role emphasizes collaborating with product, engineering, and business teams, applying machine learning and statistical modeling to real datasets, and ensuring scalable AI workflows on cloud platforms.

Qualifications

• 8+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science.
• Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
• Hands-on designing enterprise ontologies and semantic models; proficiency in graph query languages such as SPARQL, Cypher, or GQL; understanding RDF vs property graphs.

Responsibilities

• Design and maintain enterprise ontologies and semantic models with grounded understanding of SAP and connected business landscapes.
• Build AI capabilities including RAG pipelines, embeddings, vector databases, and knowledge grounding for production reliability.

Skills

Knowledge engineering

Semantic data

Applied AI

Data science

Python

SQL

ML libraries

Databricks

Cloud platforms

Communication

Education

Master's degree in CS

PhD in related field

Tools

SPARQL

Cypher

GQL

PyTorch

TensorFlow

scikit-learn

Job description

SAP is seeking an experienced Data and Applied Scientist to build the context engine that grounds enterprise data for AI agents. You will design semantic models, integrate data across ERP landscapes, and deploy ML solutions in production.

The role emphasizes collaborating with product, engineering, and business teams, applying machine learning and statistical modeling to real datasets, and ensuring scalable AI workflows on cloud platforms.