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

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

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. 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.

What you`ll do
In your role as 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. 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.
• 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 drive 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.
• 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 software engineering 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 databases. 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
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.

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.

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.

Requisition ID: 413756 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid