
Job Description
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.
What you'll build
- Lead end-to-end data science projects, from business understanding and data acquisition to model development, evaluation, deployment, and monitoring.
- Design, architect, and implement machine learning and deep learning solutions for innovative products and use cases.
- Analyze business requirements and transform them into scalable data-driven solutions.
- Prepare, clean, and organize structured and unstructured data for modeling.
- Develop and apply statistical models, data mining techniques, and advanced analytics.
- Evaluate model performance, ensure robustness, and continuously improve outcomes aligned with business goals.
- Deploy models into production environments and effectively communicate insights and results to stakeholders.
- Manage data pipelines and data lakes, ensuring data availability, integrity, and scalability.
- Collaborate with senior stakeholders and cross-functional teams to drive project success.
What you bring
- Strong expertise in AI and data science, with focus on natural language processing (NLP) and/or computer vision.
- Hands-on experience with machine learning and deep learning frameworks and tools.
- Proficiency in programming and analytics tools such as Python, SQL, R, Hadoop, and Databricks.
- Solid understanding of databases such as SAP HANA, SQL Server, or Oracle.
- Experience with data modeling, statistical analysis, and data mining algorithms.
- Familiarity with SAP Business Technology Platform (BTP) is a plus.
- Strong problem-solving skills with the ability to work with complex datasets.
- Excellent communication skills, with fluency in spoken and written English.
- Proven ability to work effectively with cross-functional teams and senior stakeholders.
Where you belong
Within the Cloud Lifecycle Engineering and AIOps (CLEO) organization of Global Cloud Operations (GCO), the Core AI Team—at the heart of the AI Foundation Team—drives the vision of an AI-powered autonomous enterprise, redefining how operations are designed, executed, and continuously optimized at scale. As a strategic cornerstone, the team embeds intelligent, self-learning capabilities into core processes, enabling adaptive, self-healing, and increasingly autonomous operations.
With a bold mandate to transform GCO through advanced artificial intelligence and data management, the AI Foundation Team builds resilient, enterprise-grade AI foundations powered by best-in-class machine learning. By working across all GCO organizations, we accelerate the evolution from reactive to predictive and ultimately autonomous operations—delivering real-time intelligence, seamless automation, and sustained operational excellence.
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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: 452573 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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