Senior Data & AI Scientist, Autonomous SCM

SAP SE; Bellevue (WA); On-site; USD 145,000 - 299,000; Full time

Job summary

SAP SE in Bellevue is seeking a Senior Data and Applied Scientist to build the semantic foundation for SAP's SCM autonomous suite. You will apply knowledge graphs, ontologies, and GenAI to ground AI in enterprise data and processes.

You will work across order-to-cash, procure-to-pay, and plan-to-produce domains, partnering with product, engineering, and customer teams to deliver scalable AI solutions from concept through production.

Qualifications

• 5+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.
• Master's or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
• Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language (SPARQL, Cypher, or GQL)
• Hands-on experience with modern GenAI systems RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
• Strong Python and SQL skills with production-grade development practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement.
• Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP).
• Excellent communication and stakeholder management skills, with the ability to work cross-functionally in agile environments.

Responsibilities

• Design and implement enterprise ontologies and semantic models for AI agents.
• Develop and scale RAG pipelines, embeddings, vector databases, and grounding.
• Ground AI solutions in SAP data models, metadata structures, and business processes.
• Collaborate with product, engineering, and customer teams from concept to production.
• Apply machine learning, deep learning, and statistical modeling to real-world datasets.
• Work with cloud platforms to build reliable, scalable AI workflows.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Graph query languages

GenAI

Python

SQL

ML libraries

Production deployment

Cloud environments

Communication skills

Education

Master's or PhD in CS/Applied Math/Statistics/Engineering

Tools

Databricks

AWS

Azure

GCP

Job description

SAP SE in Bellevue is seeking a Senior Data and Applied Scientist to build the semantic foundation for SAP's SCM autonomous suite. You will apply knowledge graphs, ontologies, and GenAI to ground AI in enterprise data and processes.

You will work across order-to-cash, procure-to-pay, and plan-to-produce domains, partnering with product, engineering, and customer teams to deliver scalable AI solutions from concept through production.