(Senior) Data Scientist (f/m/d) for Private Cloud Cross Technology and Architecture unit

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 do:

• Work with a team of highly technical and motivated developers.
• Collaborate with teams across geographies and time zones.
• Work closely with development teams and product management to jointly define and implement AI use cases in specific SAP domains.
• Contribute to the full lifecycle of development projects, including customer-specific and SAP-defined initiatives.
• Implement backlogs for functional and non-functional requirements.
• Design, develop, deploy, and monitor efficient AI/ML modules that power complex business applications.
• Adhere to SAP's agile engineering practices and processes. Take ownership of your code from ideation to deployment, across the full stack, including QA and support.
• Engage with diverse technologies and topics, supported by structured enablement.

What you bring:

• Bachelors/master’s degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
• 2+ years of software engineering experience in a data scientist role
• Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc.
• Extensive knowledge of various machine learning algorithms and concepts used to build predictive models and Generative AI.
• In-depth knowledge in at least 1 of the data science domains - Text Analysis and Natural Language Processing, Neural Networks and Deep Learning, Signal Processing, Reinforcement Learning
• Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
• Highly proficient in SQL and good knowledge of relational database
• Prior Work experience with ABAP and SAP BTP, along with integration technologies such as ISLM
• Strong written and verbal communication skills. Demonstrate the ability to independently develop new concepts and stay current with academic research.

Meet your team:

• You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.
• We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.

Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe.

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. 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.

AI Usage in the Recruitment Process: For information on the responsible use of AI in our recruitment process, please refer to the Guidelines for Ethical Usage of AI in the Recruiting Process.