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.
Job Title: Data Scientist Job Location: Bangalore Noth (Devanahalli) What You’ll Do Be part of the engineering team located in Bengaluru (Devanhalli office) and work in a highly motivated Scrum team. You work as a Data Scientist in an agile development team according to the agile Scrum methodology.
Prototype agents that can reason, plan, and take actions across tools and APIs.
Develop memory and context strategies for long-running or multi-step tasks.
Measure agent performance in terms of task success, efficiency, and trustworthiness.
Design structured prompts, templates, and orchestration flows (e.g., POML or LangChain).
Work with advanced RAG systems
Work on Knowledge Graph Initiatives
Hallunication reduction using the techniques like GraphRAG
Test robustness against edge cases, hallucinations, or prompt injections.
Automate prompt evaluation and optimization with metrics & A/B testing.
Run experiments to measure user outcomes, engagement, and productivity gains.
Define KPIs for GenAI applications (accuracy, latency, business impact).
Use causal inference or reinforcement learning to optimize agent behavior.
Partner with engineers on scalable deployment (APIs, microservices, vector DBs).
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Work with product managers to align AI capabilities with business workflows.
Educate stakeholders on what’s feasible, safe, and valuable with AI.
What You Bring
Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. E Master’s degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or related field
4+ years of experience for Data Scientist in machine or AI research (industry, research lab, or advanced academic projects)
Strong background in machine learning, deep learning, data mining, and/or optimization
Experience in model Evaluation & metrics – perplexity, BLEU, ROUGE, accuracy, F1, calibration, human-in-the-loop evaluation for generative outputs.
Experience or strong understanding of fine-tuning methods –LoRA, prompt-tuning, retrieval-augmented generation (RAG).
Evaluation of Agents and generative AI apps – task success rates, latency, cost/efficiency tracking.
Savvy with AI assisted code assist tools
Write production-grade Java/Python code
Work in a forward deployed engineering model for innovation projects
High quality, service and customer-oriented working attitude.
Meet Your Team SAP SuccessFactors Human Capital Management (HCM) empowers businesses to connect with their employees and inspire purpose-driven performance. Our mission is to help every customer deliver the employee experiences people truly want. You’ll join a seasoned team of cloud-native Java developers and data scientists at SuccessFactors, working at the forefront of innovation to build next-generation generative AI-powered applications. #DevT2 #SAPAICareers 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 our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
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.
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.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process. Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 435743 | 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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