AI Data Scientist

 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.

Purpose and Objectives

The SAP HANA Database & Analytics organization is a global organization dedicated to delivering database & analytics technology and solutions such as SAP HANA Database and SAP Analytics Cloud that address customers' unique and competitive business requirements.

In the SAP HANA Database & Analytics Cross-Engineering organization, we work with large amounts of quality-related data and the latest AI/Gen AI technologies to improve the quality of our products and make developers' lives easier.

Expectations and Tasks

As a Data Scientist, you will be working in the global HANA QA Data Engineering Development team within SAP HANA & Analytics Cross-Engineering, alongside a group of exceptionally talented and motivated colleagues. Your role will focus on backend development and optimization of AI/Gen AI services.

What You'll Do:

• Design and develop AI-powered services that leverage Large Language Models (LLMs) and other AI techniques to tackle software development challenges such as fault localization, automatic code repair, and providing actionable insights to improve software quality and developer productivity.
• Build and manage reliable data pipelines for training and serving AI models, using techniques to improve model performance and generalization.
• Collaborate with cross-functional teams to develop and execute a comprehensive AI strategy that aligns with our goals of adopting and customizing machine learning models for quality improvement.
• Continuously monitor, fine-tune, and optimize AI models to ensure optimal performance and adapt to changing data patterns and business requirements.
• Stay up-to-date with the latest AI trends, including advanced prompting techniques, AI agent construction, and new LLM integration techniques, and apply them to innovate our AI-powered tools and services.
• Document your findings, solutions, and best practices clearly and concisely for both technical and non-technical audiences.

What You Bring:

• Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree a plus).
• Solid understanding of software development best practices and a keen interest in applying machine learning techniques to build and deploy AI-powered applications, with a willingness to learn and adapt to the specific challenges and requirements of the role.
• Proficiency in Python programming and an understanding of its application in AI projects. Familiarity with PyTorch, Hugging Face, or Langchain is a plus but not mandatory.
• 3+ years of experience in AI or ML data scientist role, but no hard limit on number of years of experience.
• Database and SQL experience, with an ability to manipulate and manage data efficiently.
• Excellent communication and collaboration skills, with the ability to work effectively in a global, cross-functional team.
• Strong problem-solving skills, creativity, and the ability to work independently in a fast-paced environment.

#SAPBTPEXCareers 

​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: 408067  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.