Applied Senior/Staff Scientist with Relational SAP Enterprise Data Skills
Role details
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Job description
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:
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 the deep-seated business process intuition and specialized reasoning required for the enterprise.
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.
This is the ideal role for a motivated highly focused, ambitious individual with both a strong ML and relational enterprise data background and your chance to contribute to one of the very few leading foundation models of European origin.
The Role:
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Contribute to 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
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Bridge the gap between model architecture researchers and data experts to ensure models excel on real-world relational enterprise data
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Work hands-on to embed business knowledge into foundation models through rigorous experimentation and performance evaluation
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Stay at the forefront of Foundation Models, and to drive the strategic evolution of the SAP-RPT family
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Contribute to the development of one of the few leading foundation models of European origin, ensuring it meets the specific needs of global enterprise applications, 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.
Requirements
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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.
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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.
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Proven hands-on experience developing predictive use cases on tabular data in a data scientist role.
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Proficiency with deep learning, 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.
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Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.