Data Science Expert

Job Title: Data Science Expert Company: SAP Job Category: SAP SUCCESSFACTORS Roles & Responsibilities: * Design and maintain enterprise ontologies and semantic models that give AI agents accurate, 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 capabilities including RAG pipelines, embeddings, vector databases, and enterprise knowledge grounding that make SAP's agents accurate and reliable in production. * Develop AI capabilities including 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 process context including 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 in real enterprise reality. * Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. * Partner across product, engineering, business, and customer\-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. * Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real\-world enterprise datasets. Where you belong Join SAP SuccessFactors at a pivotal point in the evolution of enterprise AI, where we are moving beyond traditional applications and analytics toward intelligent, autonomous agents that can understand HCM context, reason over trusted business data, and help customers make better workforce decisions. As part of the SuccessFactors Line\-of\-Business, you will work at the intersection of HCM domain expertise, enterprise data, applied AI, and agentic technologies—helping shape how employees, managers, HR leaders, and businesses interact with SAP through intelligent experiences. You will collaborate with product, engineering, data, and research teams to ground autonomous agents in SuccessFactors business processes, semantics, policies, and data, while building solutions that are accurate, responsible, secure, and scalable. This is an opportunity to work on high\-impact problems across the employee lifecycle, from recruiting and talent to workforce planning, analytics, and people intelligence, and to play a foundational role in defining the next generation of AI\-powered HCM at SAP. \#dlhiring 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. 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. Requisition ID: 459675 \| Work Area: Software\-Design and Development \| Expected Travel: 0 \- 10% \| Career Status: Professional \| Employment Type: Regular Full Time \| Additional Locations: Work Location: Bengaluru, Karnataka, India Availability: Full time

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. 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. * Deep expertise across the W3C stack (OWL, RDF/RDFS, SKOS, SHACL) and/or property graph query languages (Cypher, GQL). * Deep expertise in 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. * Understanding of HR/HCM domain semantics and the ability to translate SuccessFactors business concepts, processes, and terminology into semantic models, knowledge representations, AI grounding, and agentic experiences. * Experience working with SAP SuccessFactors extensibility and integration technologies, including OData APIs, Integration Center, SAP BTP, and/or other SAP integration patterns. * Experience applying analytics, machine learning, or statistical methods to workforce use cases such as attrition, headcount, workforce planning, skills, compensation, recruiting, performance, engagement, or talent intelligence. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Please note that any violation of these guidelines may result in disqualification from the hiring process. Key Skills: SAP SuccessFactors, Compensation Salary: Not disclosed