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Senior Applied Scientist for Tabular ML(m/w/x)
Developing Foundation Models for structured data at SAP, advising on tabular model use cases. Deep learning and Transformer architecture mastery required. Constant learning, skill growth.
Requirements
- PhD or Master's degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Hands-on experience developing predictive use cases on tabular data in data scientist role
- Experience with S/4HANA data
- Mastery of deep learning and Transformer architectures
- Application of deep learning to structured enterprise data
- Strong software engineering skills in Python
- Proven track record building and scaling experiments with PyTorch or TensorFlow
- Strong communication and collaboration skills
- Ability to work effectively in cross-cultural teams
Tasks
- Collaborate with internal teams and model researchers
- Evaluate high-value use cases and understand business context
- Analyze use cases across the organization
- Advise on effective use of tabular foundation models
- Debug and benchmark model behavior
- Push model performance on enterprise problems
- Identify patterns, limitations, and opportunities
- Distill insights into actionable improvements
- Suggest model architecture enhancements
- Bridge practical use-case execution and model research
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- S/4HANA
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Informal Culture
- Supportive team
- Inclusive culture
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Competitive Pay
- Employee investment
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Senior Applied Scientist for Tabular ML(m/w/x)
Developing Foundation Models for structured data at SAP, advising on tabular model use cases. Deep learning and Transformer architecture mastery required. Constant learning, skill growth.
Requirements
- PhD or Master's degree in Computer Science, Artificial Intelligence, or relevant disciplines
- Hands-on experience developing predictive use cases on tabular data in data scientist role
- Experience with S/4HANA data
- Mastery of deep learning and Transformer architectures
- Application of deep learning to structured enterprise data
- Strong software engineering skills in Python
- Proven track record building and scaling experiments with PyTorch or TensorFlow
- Strong communication and collaboration skills
- Ability to work effectively in cross-cultural teams
Tasks
- Collaborate with internal teams and model researchers
- Evaluate high-value use cases and understand business context
- Analyze use cases across the organization
- Advise on effective use of tabular foundation models
- Debug and benchmark model behavior
- Push model performance on enterprise problems
- Identify patterns, limitations, and opportunities
- Distill insights into actionable improvements
- Suggest model architecture enhancements
- Bridge practical use-case execution and model research
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- S/4HANA
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Accessibility accommodations
Informal Culture
- Supportive team
- Inclusive culture
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Competitive Pay
- Employee investment
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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