Software-Design and Development

Data Scientist/Researcher in Machine Learning

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  

 

 

As a Data Scientist, you will work within an international team of data scientists and data engineers to deliver top-grade machine learning-based cloud solutions into production. We solve real-world challenges posed by SAP's customers and product units with a focus on intelligent document processing, e.g., information extraction, OCR, and entity recognition. You will apply the state-of-the-art in deep learning and take one of the richest data sets available in industry to the next level. 

 

What you'll do 

 

  • Explore, understand, and implement the most recent machine learning algorithms and approaches. 

  • Push the frontiers of what is possible in the area of machine learning with real data. 

  • Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact. 

  • Help to ensure performance, reliability and ongoing improvement of our model deliverables in continuous collaboration with development teams. 

 

What you bring 

 

  • In-depth AI and data science knowledge, with a focus on deep learning. 

  • Strong software engineering skills using Python and machine learning software packages such as Tensor Flow. 

  • Analytical mindset, curiosity and a drive to produce excellent solutions. 

  • Understanding of practical and privacy concerns surrounding AI development. 

  • Fluency in both written and spoken English 

 

Tech you bring 

  • Mastery of python and python libraries for ML (e.g. Scikit Learn, TensorFlow, pretrained transformers) 

  • Experience with SQL or NoSQL databases. 

  • Critical thinking capability 

 

Tech you'll learn 

 

  • Latest development in applied ML and AI in customer-facing products.  

  • Best practices for building functional and compliant ML and AI solutions. 

 

Meet your team 

 

As Intelligent Spend and Business Network, we play a crucial role in addressing our customers' end-to-end procurement, travel and expense, and external workforce needs with visibility and agility across the entire supply chain. Our data science team is a small team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI solutions.   

 

 

#SAPAICareers

 

 

 

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  

 

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

 

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

 

Requisition ID: 395537  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

Requisition ID:  395537
Posted Date:  May 20, 2024
Work Area:  Software-Design and Development
Career Status:  Professional
Employment Type:  Regular Full Time
Expected Travel:  0 - 10%
Location: 

Prague 5, CZ, 158 00

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