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Senior Applied Scientist for Tabular ML (T3)(m/w/x)
Developing predictive use cases on tabular data for SAP S/4HANA integration. Deep learning and Transformer architectures mastery required. Constant learning, skill growth support.
Requirements
- PhD or Master's degree in Computer Science, AI, or relevant disciplines
- Extensive hands-on experience developing predictive use cases on tabular data
- Experience with S/4HANA data ideally
- Deep 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
- Partner with internal teams and model researchers
- Evaluate high-value use cases
- Understand business context of use cases
- Analyze use cases across the organization
- Advise on integrating use cases with tabular models
- Debug and benchmark model behavior
- Push model performance on enterprise problems
- Distill patterns and limitations from applied work
- Identify opportunities for model improvement
- Provide actionable insights for model architecture
- Collaborate with application teams and domain experts
- 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
Mentorship & Coaching
- Team growth support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
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Senior Applied Scientist for Tabular ML (T3)(m/w/x)
Developing predictive use cases on tabular data for SAP S/4HANA integration. Deep learning and Transformer architectures mastery required. Constant learning, skill growth support.
Requirements
- PhD or Master's degree in Computer Science, AI, or relevant disciplines
- Extensive hands-on experience developing predictive use cases on tabular data
- Experience with S/4HANA data ideally
- Deep 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
- Partner with internal teams and model researchers
- Evaluate high-value use cases
- Understand business context of use cases
- Analyze use cases across the organization
- Advise on integrating use cases with tabular models
- Debug and benchmark model behavior
- Push model performance on enterprise problems
- Distill patterns and limitations from applied work
- Identify opportunities for model improvement
- Provide actionable insights for model architecture
- Collaborate with application teams and domain experts
- 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
Mentorship & Coaching
- Team growth support
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
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.
Not a perfect match?
- SAP
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Staff/Principal AI Scientist for Mixture-of-Architecture Foundation Models(m/w/x)
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Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
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