Senior Data Scientist

SAP
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Communication","Stakeholder management","Cross-functional collaboration"]

Build and scale the semantic context engine that powers SAP’s enterprise AI agents, enabling accurate understanding of business master data, process flows, and domain relationships. Design and maintain enterprise ontologies and semantic models, and develop GenAI/LLM capabilities such as RAG pipelines, embeddings, vector databases, and knowledge grounding. Deploy and improve AI/ML solutions in production while partnering across product, engineering, business, and customers.

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FursaFursa
SAP
SAP
2 hours ago

Senior Data Scientist

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Job Summary

Build and scale the semantic context engine that powers SAP’s enterprise AI agents, enabling accurate understanding of business master data, process flows, and domain relationships. Design and maintain enterprise ontologies and semantic models, and develop GenAI/LLM capabilities such as RAG pipelines, embeddings, vector databases, and knowledge grounding. Deploy and improve AI/ML solutions in production while partnering across product, engineering, business, and customers.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and scale enterprise ontologies and semantic models that enable SAP’s AI agents to understand business master data, process flows, and domain relationships.
  • •Build and maintain semantic retrieval capabilities, including RAG pipelines, embeddings, and vector databases, to ground AI in trusted enterprise knowledge.
  • •Develop GenAI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and structured/unstructured data assets.
  • •Leverage SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions.
  • •Apply machine learning, deep learning, and statistical modeling to develop, evaluate, deploy, and continuously improve AI/ML solutions in production.
Travel: Low travel

Key Requirements

  • •7+ years of experience in knowledge engineering, semantic data systems, applied AI, or data science (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, including 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, including ML libraries (PyTorch, TensorFlow, or scikit-learn).
Experience:7+ yearsKnowledge engineeringSemantic data systemsApplied AIData scienceGenAIRAGEnterprise AI
Education:
Skills:CommunicationStakeholder managementCross-functional collaboration
Tech Stack:PythonSQLPyTorchTensorFlowScikit-learnSPARQLCypherGQLRAGEmbeddingsVector databasesRDFRDFSOWLSKOSSHACLDatabricksSAP 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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