Senior Data and Applied Scientist, HCM Autonomous Suite, Palo Alto (Palo Alto, CA, US, 94304)

SAP
Palo Alto
Workplace: HybridFull timeUSD 148,600 - 306,300 annuallyFunction: Research & Scientific (R&D)Experience: 5+ yearsEducation: mastersSkills: ["Communication","Stakeholder management","Cross-functional collaboration","Agile teamwork"]

Build and scale the semantic and contextual foundation for SAP’s AI agents in the HCM domain. Design enterprise ontologies and semantic models to harmonize data across SAP and connected systems, then develop GenAI capabilities such as RAG pipelines, embeddings, and vector databases for grounded, reliable enterprise knowledge. Partner across product, engineering, and customer-facing teams to deploy and continuously improve AI/ML solutions using production-grade tools and cloud/data platforms.

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SAP
SAP
2 hours ago

Senior Data and Applied Scientist, HCM Autonomous Suite, Palo Alto (Palo Alto, CA, US, 94304)

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and scale the semantic and contextual foundation for SAP’s AI agents in the HCM domain. Design enterprise ontologies and semantic models to harmonize data across SAP and connected systems, then develop GenAI capabilities such as RAG pipelines, embeddings, and vector databases for grounded, reliable enterprise knowledge. Partner across product, engineering, and customer-facing teams to deploy and continuously improve AI/ML solutions using production-grade tools and cloud/data platforms.
Location: Palo Alto
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 that enable accurate understanding of SAP and connected business landscapes.
  • •Build and scale GenAI capabilities, including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding.
  • •Develop and evaluate LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured/unstructured assets.
  • •Leverage SAP data models, metadata structures, and business process semantics across core process areas to ground AI solutions in real enterprise context.
  • •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 148,600 - 306,300 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.
  • •Hands-on experience designing enterprise ontologies and semantic models, including graph query languages (SPARQL, Cypher, or GQL).
  • •Hands-on experience with GenAI systems such as RAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
  • •Proven track record deploying and operating AI/ML solutions in production, including lifecycle support and continuous improvement.
Experience:5+ yearsAIEnterprise softwareHuman capital management (HCM)Knowledge graphsApplied AI
Education:Master's
Skills:CommunicationStakeholder managementCross-functional collaborationAgile teamwork
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnSPARQLCypherGQLRDFRDFSOWLSKOSSHACLDatabricksSAP DatasphereSAP HANA CloudAWSAzureGCPRAG

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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