Data Science Expert (CX) - Data Labs (m/f/d)

SAP SE; Deutschland; Remote; EUR 120,000 - 170,000; Full time

Job summary

SAP SE seeks a Data Science Expert (CX) for Data Labs to advance AI across SAP Customer Experience. You will design ontologies, build semantic models, and scale AI agents grounded in SAP data with enterprise knowledge. You will collaborate across product, engineering, and business teams to deploy robust solutions.

The role emphasizes RAG pipelines, embeddings, and knowledge grounding using cloud platforms and data ecosystems, in a highly collaborative setting.

Qualifications

• 8+ 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 related field
• Hands-on experience designing enterprise ontologies and semantic models; proficiency in at least one graph query language; understanding of RDF vs property graphs.
• Hands-on experience with GenAI systems, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.
• Strong Python and SQL skills with production-grade practices; experience with ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Proven track record deploying and operating AI/ML solutions in production with lifecycle support.

Responsibilities

• Design and maintain enterprise ontologies and semantic models.
• Build AI capabilities including RAG pipelines, embeddings, vector databases, and knowledge grounding.
• Develop AI capabilities using generative AI and LLM-based solutions with enterprise data.

Skills

Knowledge engineering

Semantic data systems

Applied AI

Data science

Education

Master's or PhD in Computer Science or related

Tools

SPARQL/Cypher/GQL

PyTorch

TensorFlow

scikit-learn

Job description

Data Science Expert (CX) - Data Labs (m/f/d)

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

The context engine that makes AI enterprise ready.

Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in the richest enterprise data and process context in the world. As a Data and Applied Scientist at SAP,you'llbuild the context enginegrounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants.

The semantic and contextual foundation of SAP's AI. While generic AI agentsoperateon surface-level patterns, SAP agents areaccuratebecause they understand the real semantics of enterprise business master data, process flows, and domain relationships.You'llbuild and scale the layer that makes that possible.

Design andmaintainenterprise ontologies and semantic modelsthat give AI agentsaccurate, grounded understanding of SAP and connected business landscapes harmonizing data from SAP, Salesforce, Workday, ServiceNow, MES/IoT systems, and external providers into unified semantic layers.

Build AI capabilitiesincluding RAG pipelines, embeddings, vector databases, and enterprise knowledgegrounding thatmake SAP's agentsaccurateand reliable in production.

Develop AI capabilitiesincluding generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets.

Leverage SAP's deep data and processcontextincludingSAP 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 in real enterprise reality.

Work with cloud and data platformsincluding Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows.

Partner across product, engineering, business, and customer-facing teamsto translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement.

Apply machine learning, deep learning, and statistical modelingto develop and evaluate AI solutions using real-world enterprise datasets.

Required Qualifications

8+ yearsof experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments.

Master's or PhDin Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field

Hands-on experience designing enterprise ontologies and semantic models;proficiencyin at least one graph query language (SPARQL, Cypher, or GQL); understanding of trade-offs between RDF triple stores and property graph databases.

Hands-on experience with modern GenAI systemsRAG, embeddings, vector databases, semantic retrieval, and enterprise knowledge grounding.

Strong Python and SQL skillswith production-grade development practices; experience with ML libraries such asPyTorch, TensorFlow, or scikit-learn.

Proventrack recorddeploying and operating AI/ML solutionsin production including handoff, lifecycle support, and continuous improvement.

Experience with big data infrastructure and cloud environmentsDatabricks 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.

Preferred Qualifications

Deep working knowledge of SAP data models, metadata structures, and core business processes end-to-end.(SAP knowledge is a strong accelerator)

Hands-on experience with the SAP data and AI platform stack SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub.

Deepexpertiseacross the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL).

Deepexpertisein machine learning and deep learning, with experience developing, evaluating, and improving models on real-world datasets.

Experience with agentic AI, reasoning frameworks, planning, orchestration, tool use, or multi-agent architectures.

Experience contributing to reusable AI platforms, foundation model initiatives, or shared AI services adopted across multiple product areas.

Ability to design upper-level and mid-level ontologies aligned with industry standards and apply semantic interoperability frameworks across complex application landscapes.

Experience applying AI and semanticmodelingto CX or Retail use cases such as personalization, pricing, product discovery, demand forecasting, or customer data unification across B2B and B2C contexts.

Where you belong

You will be part of Data Labs within the CX Office of theCTO,a strategic organization embedded in SAP Customer Experience. We define the AI strategy and architecture vision for next-generation CX solutions and ensure seamless integration across the SAP ecosystem. Our team works collaboratively across SAP product units, engages deeply in technology strategy, and partners closely with customers and external communities. We strive to create meaningful impact through world-class architecture, innovation, and industry-driven expertise.

AI skills used in this role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Creative Thinking, Complex Problem Solving, Effective Communication, Collaboration, Agentic Orchestration, Data Engineering, Deep Learning, Model Training, Semantic Retrieval
#DLhiring #DL.de

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate your website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: [e-mail].
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 459629 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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