Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (T3/T4) (f/m/d)

Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (T3/T4) (f/m/d)

Responsibilities

As Applied Senior/Staff Scientist, you will lead the mission to evolve the SAP‑RPT model family into experts of structured business data. You will tailor our foundation models to the unique complexities of real‑world SAP applications, supercharging them with deep‑seated business process intuition and specialized reasoning required for enterprise systems.

Bridging the gap between research scientists focusing on model architecture and data experts, you will ensure our models are not just technically sound but business‑fluent. This is a hands‑on role where you will directly implement the techniques that allow our models to navigate the intricacies of relational schemas and enterprise logic.

Key responsibilities include:

• Tailoring the SAP‑RPT model family to the unique complexities of real‑world relational enterprise data, enabling models to navigate and reason over intricate schemas and logic.
• Bridging the gap between model‑architecture research and data experts to ensure models excel on real‑world relational enterprise data.
• Working hands‑on to embed business knowledge into foundation models through rigorous experimentation and performance evaluation.
• Staying at the forefront of Foundation Models and driving the strategic evolution of the SAP‑RPT family.
• Contributing to the development of one of the few leading foundation models of European origin, ensuring it meets the specific needs of global enterprise applications.

Qualifications

PhD or Master’s degree in Computer Science, Artificial Intelligence, or relevant disciplines with 5+ years of professional experience in developing machine learning models.

Strong experience with the data models and business logic of enterprise applications built on relational data, ideally S/4HANA, gained as a consultant, developer, or data scientist.

Technical mastery of Deep Learning and Transformer architectures, with a proven track record of their application to structured enterprise data and the adaptation of large‑scale foundation models to represent complex relational logic and business processes.

• Proven hands‑on experience developing predictive use cases on tabular data in a data scientist role.

Proficiency 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.

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