Senior Applied Scientist for Tabular ML (f/m/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.

What you’ll do

You'll work at the intersection of advanced AI research, enterprise applications, and real-world problem solving, partnering closely with internal teams and model researchers to evaluate and improve high-value use cases.

In this applied, hands‑on role, you'll analyze challenging use cases across the organization, understand their business context, and help push our tabular foundation models to their full potential. Through debugging, benchmarking, and deep technical iteration, you'll uncover patterns, limitations, and opportunities, and turn them into actionable insights that directly inform model research and model architecture improvements.

You'll collaborate deeply with application teams and domain experts, serving as a bridge between practical use‑case execution and ongoing model research. Your input will have a direct impact on how our models evolve and how effectively they perform on meaningful enterprise problems.

• Collaborate with internal teams, customers, and stakeholders to analyze high-value enterprise use cases
• Work hands‑on with cutting‑edge tabular foundation models to debug, benchmark, and optimize model performance for meaningful business impact
• Distill patterns, limitations, and opportunities from applied work into actionable insights, including suggestions for improvements to model architecture in collaboration with model researchers
• Guide teams toward the most impactful goals by translating feedback and practical needs into development priorities
• Enable stakeholders to effectively understand, evaluate, and apply model capabilities

What you bring

• PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models
• Extensive hands‑on experience developing predictive use cases on tabular data in a data scientist role, ideally with S/4HANA data
• Significant experience with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow
• Strong communication and collaboration skills, with the ability to work effectively in cross‑cultural teams
• Ideally, experience in consulting-oriented roles

Meet your team

SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP‑RPT‑1. As the first generation of our relational model portfolio, SAP‑RPT‑1 represents our commitment to pioneering new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next‑generation models with even higher impact, bridging the gap between cutting‑edge AI research and the complex, structured reality of global enterprise data.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities.