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SASAP

Senior Applied Scientist for Tabular ML (T3)(m/w/x)

Garching bei München
Full-timeOn-siteSenior

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

  • EnglishBusiness 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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