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 Senior Data Scientist, 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.
• Design, develop, deploy, and monitor efficient AI/ML modules that drives complex business applications.
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
• Use data modelling and evaluation strategy to find patterns and predict unseen instances.
• Collaborate and work with teams spread across geographies and time zones.
• Liaise with stakeholders to analyse business problems, clarify requirements, and define the scope of the resolution needed.
• Analyze large, complex datasets to extract insights and decide on the appropriate technique.
• Research and implement best practices to improve the existing machine learning infrastructure.
• Provide support to engineers and product managers in implementing machine learning in the product.
• Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
• Use exceptional mathematical skills, to perform computations and work with the algorithms involved in this type of programming.
• Collaborate with data engineers to build data and model pipelines.

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

• 8+ years of industry experience in a senior data scientist role

• Extensive knowledge of various machine learning algorithms and concepts used to build predictive models and Generative AI.
• DevOps knowledge (CI/ CD, Jenkins/ Docker, Pipeline Management) is desirable.

• Identify and translate real world customer problems into feasible technical solutions and implement them independently. Expertise in developing and training advanced machine learning models using frameworks such as TensorFlow, PyTorch, and Keras, ensuring high accuracy and efficiency for a variety of applications.
• Strong background in designing and implementing deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models, to solve complex problems in natural language processing, and sequential data analysis.
• Good to have knowledge of internal control compliance tool such as SAP Process control
• Good to have subject knowledge of Regulations such as SOX, COSO framework etc
• Basic Knowledge & experience of SAP BTP service is a must.
• SAP BTP services such as AI core, SAP HANA Cloud DB, HANA Vector DB, Business AI, Document Extraction...etc is preferable.
• Skilled in performing efficient data preprocessing, feature engineering, and augmentation techniques to improve model performance and generalization on unseen data.
• Mastery of statistical analysis and predictive modelling techniques, applying rigorous validation methods (cross-validation, bootstrapping) to assess model reliability and performance.
• Experience in implementing real-time inference systems, optimizing models for latency and throughput to meet the demands of live data processing and decision-making applications.
• Familiarity with machine learning model monitoring and management practices, including version control, performance tracking, and updating models in response to drift in data patterns.
• Strong analytical skills in evaluating the effectiveness of AI/ML models and algorithms through metrics and KPIs, ensuring continuous improvement in alignment with business objectives.
• Proficient in the ethical and responsible use of AI, including understanding biases in data and models, ensuring privacy compliance (e.g., GDPR), and promoting transparency and fairness in machine learning applications.

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.

#DataScienceT3

​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: 400759  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.