Senior Data and Applied Scientist, SCM Autonomous Suite, Bellevue (Bellevue, WA, US, 98004)

SAP
Bellevue
Workplace: HybridFull timeUSD 145,000 - 298,900 annuallyFunction: Research & Scientific (R&D)Experience: 5+ yearsEducation: mastersSkills: ["Communication","Stakeholder management","Cross-functional collaboration","Agile collaboration","Production deployment"]

Build SAP’s AI context engine for autonomous supply-chain capabilities by designing and scaling enterprise ontologies and semantic models that ground AI agents in SAP and connected business data. Develop production RAG and generative AI capabilities using knowledge graphs and enterprise knowledge grounding, and apply ML/deep learning for real-world datasets. Partner across product and engineering while working with platforms like Databricks, SAP Datasphere, SAP HANA Cloud, and major cloud services.

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FursaFursa
SAP
SAP
2 hours ago

Senior Data and Applied Scientist, SCM Autonomous Suite, Bellevue (Bellevue, WA, US, 98004)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build SAP’s AI context engine for autonomous supply-chain capabilities by designing and scaling enterprise ontologies and semantic models that ground AI agents in SAP and connected business data. Develop production RAG and generative AI capabilities using knowledge graphs and enterprise knowledge grounding, and apply ML/deep learning for real-world datasets. Partner across product and engineering while working with platforms like Databricks, SAP Datasphere, SAP HANA Cloud, and major cloud services.
Location: Bellevue
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design and maintain enterprise ontologies and semantic models to provide AI agents accurate understanding of SAP and connected business landscapes.
  • •Build and scale RAG pipelines, embeddings, vector databases, and semantic retrieval capabilities for reliable AI grounded in enterprise knowledge.
  • •Develop generative AI and LLM-based solutions using enterprise business data, knowledge graphs, and structured/unstructured data assets.
  • •Leverage SAP data models, metadata structures, and business process semantics across multiple business process domains to ground AI solutions.
  • •Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.
Travel: Low travel

Pay and Benefits

Salary: USD 145,000 - 298,900 annually

Key Requirements

  • •5+ 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.
  • •Design enterprise ontologies and semantic models, including proficiency in at least one graph query language (SPARQL, Cypher, or GQL).
  • •Hands-on experience with GenAI systems such as RAG, embeddings, vector databases, and semantic retrieval/knowledge grounding.
  • •Strong Python and SQL skills with production-grade development practices and experience deploying AI/ML solutions in production.
Experience:5+ yearsResearch labsAcademic environments
Education:Master's in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field
Skills:CommunicationStakeholder managementCross-functional collaborationAgile collaborationProduction deployment
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnRAGEmbeddingsVector databasesSPARQLCypherGQLRDFRDFSOWLSKOSSHACLDatabricksSAP DatasphereSAP HANA CloudAWS

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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