Senior Data and Applied Scientist, Enterprise AI Context

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

Job summary

SAP SE in Palo Alto is seeking an experienced Data Scientist to design and scale the semantic foundation for SAP's AI agents. You will build enterprise ontologies, semantic models, and grounding mechanisms across major business domains using GenAI, embeddings, and knowledge graphs.

Strong experience with SPARQL/Cypher/GQL, Databricks, and cloud platforms is essential. You will collaborate with product, engineering, and business teams to translate ambiguous challenges into concrete AI solutions,

Qualifications

• 8+ years in knowledge engineering, semantic data systems, applied AI, or data science.
• Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field.
• Hands-on designing enterprise ontologies and semantic models; proficient in graph query languages.
• Hands-on with GenAI systems including RAG, embeddings, vector databases, semantic grounding.
• Strong Python and SQL; production-grade ML libraries (PyTorch, TensorFlow, scikit-learn).
• Proven track record deploying AI/ML in production with lifecycle support.

Responsibilities

• Design and maintain enterprise ontologies and semantic models for grounded AI.
• Build AI capabilities including RAG pipelines, embeddings, vector databases, and grounding in production.
• Develop AI using enterprise data, knowledge graphs, process intelligence, and structured/unstructured data.
• Leverage SAP data models and business process semantics across core domains to ground AI solutions.
• Collaborate with product, engineering, and customer teams to translate challenges into AI solutions from concept to deployment.
• Apply ML, deep learning, and statistical modeling to real-world enterprise datasets.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Data science

Graph query languages

Python

SQL

ML libraries (PyTorch, TensorFlow, sc"

Education

Master's or PhD in CS/Math/Engineering

Tools

SPARQL

Cypher

GQL

Databricks

SAP Datasphere

SAP HANA Cloud Knowledge Graph Engine

Job description

SAP SE in Palo Alto is seeking an experienced Data Scientist to design and scale the semantic foundation for SAP's AI agents. You will build enterprise ontologies, semantic models, and grounding mechanisms across major business domains using GenAI, embeddings, and knowledge graphs.

Strong experience with SPARQL/Cypher/GQL, Databricks, and cloud platforms is essential. You will collaborate with product, engineering, and business teams to translate ambiguous challenges into concrete AI solutions,