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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
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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