Senior Applied Scientist for Relational Enterprise Data | Applied Senior/Staff Scientist for Relational Enterprise Data (T3/T4) (f/m/d)

SAP

Deutschland
Published Mar 12, 2026
Full-time
No information

Job Summary

As a Senior or Staff Applied Scientist at SAP, you will lead the evolution of the SAP-RPT model family, focusing on structured business data. Your day-to-day involves tailoring foundation models to navigate the complexities of real-world SAP applications, bridging the gap between model architecture research and data expertise. You will work hands-on to embed deep business intuition and specialized reasoning into these models, ensuring they are fluent in relational schemas and enterprise logic. This role is unique as it offers the chance to contribute to one of the few leading foundation models of European origin. You will be part of a mission-driven team that infuses AI directly into global business processes, requiring a blend of technical mastery in deep learning and a strategic mindset for enterprise applications. The position is ideal for ambitious professionals looking to apply cutting-edge Generative AI and Transformer architectures to the massive scale of ERP and CRM data environments.

Required Skills

Education

PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines.

Experience

  • 5+ years of professional experience in developing machine learning models
  • Extensive hands-on experience with Machine Learning on structured, tabular, or relational enterprise data (e.g., ERP, CRM)
  • Proven track record of applying Deep Learning to complex relational logic and business processes
  • Experience building and scaling experiments using Python-based frameworks
  • Professional experience in coordinating between research scientists and data experts

Languages

English (Basic)

Additional

  • Expected travel: 0 - 10%. Location: Hybrid. Role involves working with SAP-RPT-1 foundation models and requires the ability to work effectively in cross-cultural teams.