(Associate) Data Scientist (f/m/d) for PCP Cross Technology and Architecture unit

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 

What you`ll do 
In your role as (Associate) Data Scientist (f/m/d) you will be responsible for the design, coding, testing, and quality assurance in a development team. You will assess and solve issues in new or existing code, and work with high attention to detail, reliability, and efficiency. You will collaborate closely with your team members to ensure success. In your day-to-day you will: 

• Work with a team of highly technical and motivated developers. 
• Collaborate and work with teams spread across geographies and time zones. 
• You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. 
• Implement backlogs for functional and non-functional requirements. 
• Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications. 
• Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support. 
• You will work on multiple topics and technologies with adequate enablement. 
   

What you bring 
Are you analytical, self-motivated, and enjoy problem solving? Do you enjoy continuous learning and working efficiently in a fast-paced environment? If this sounds like you, do you also bring: 

• Bachelors/master’s degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation 
• 2+ years of industry experience in a data scientist role 
• Solid understanding of the mathematics related to data science - probability, statistics, linear algebra etc. 
• Extensive knowledge of various machine learning algorithms and concepts used to build predictive models and Generative AI. Experience in working with GPUs to develop models. Prior experience in deploying machine learning models into production. 
• In-depth knowledge in at least 1 of the data science domains (Text Analysis and Natural Language Processing, Neural Networks and Deep Learning, Signal Processing, Image/Video processing and recognition, Reinforcement Learning)
• Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools. 
• DevOps knowledge (CI/ CD, Jenkins, Pipeline Management) is desirable. Highly proficient in SQL and good knowledge of relational database. Prior Work experience with SAP BTP is desirable. 
• Strong written and verbal communication skills. Demonstrate the ability to independently develop new concepts and stay current with academic research. 
   

Meet your team 
SAP PCP Cross Technology and Architecture unit that is driving technology empowering innovations in business and people. It is part of the global organization Private Cloud Products (PCP) dedicated to delivering innovative solutions to meet our customers’ unique business process needs in Private Cloud. 

• You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information. 
• We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives. 
• Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe. 

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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.

Requisition ID: 405416  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid
 

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