Data Scientist for Product Governance Team

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.  

ABOUT US

CPIT Product, Data and Technology organization has the purpose to “Deliver and Run the Intelligent Enterprise”. CPIT is SAP’s technology backbone and most compelling reference customer, and as such, we influence SAP product development and strategy, with our customer experience at heart. To support the updated SAP AI Strategy and the company vision on Generative AI, we need to strengthen our team to accelerate delivery of Data & AI Cloud Solutions.

THE ROLE

As a data scientist/data engineering subject matter expert, you will join the AI Factory Governance team and work closely with other data scientists/data engineers, architects, product owners, scrum masters/release train engineers, AI developers and students/interns/fellows. You will contribute to the creation of a state-of-the-art delivery framework to democratize, accelerate, and scale internal AI to achieve maximum value impact and optimal time-to-market for AI solutions. You will be expected to have a strong understanding of data structures, databases, data modeling, and ETL tools. You will need to leverage your understanding of data and your analytical capabilities to constantly improve and optimize AI Factory operational processes, enforce their execution, and ensure the compliance of the delivered AI solutions. The role requires a combination of analytical expertise, data engineering skills, and a strong business acumen.

WHAT YOU’LL DO

• Drive and implement continuous improvements in AI Factory delivery framework.
• Apply (SAFe) Agile operational standards and best practices to maximize efficiency gains and returns on AI investments.
• Act as a Data Science/ Data Engineering subject matter expert for the AI Factory Governance team.
• Collaborate closely with AI Factory Product Owners to collect and address their needs and requirements and ensure alignment.
• Ensure the compliance of AI Factory solutions with security and AI Ethics/DPP/Legal/Works Council requirements.
• Facilitate the quarterly AI Factory planning to consolidate and prioritize diverse improvement initiatives.
• Contribute to AI Factory operational KPIs reporting and drive KPIs improvement.
• Contribute to the creation of reusable and enablement assets in context of AI Factory.
• Educate customers and stakeholders about AI/ML.

WHAT YOU’LL BRING

You are self-motivated, result-oriented, and creative. You bring a can-do attitude and positive mindset. You are a team player, have a sharp business acumen and problem-solving skills. You can manage, organize, prioritize, multi-task and adapt to changing priorities. You are committed to continuous learning & sharing skills to others.

• Bachelor’s or master’s degree in machine learning, computer science, engineering or related technical fields
• Work with a team of AI Scientists, MLOps Engineers, and Product Owners.
• Communicate with stakeholders to understand SAP business processes.
• Implement SAP AI standard solutions and build custom solutions to solve business problems & increase process automation.
• Good understanding of agile team practice & methods such as Scrum, Kanban, SAFe.
• Solid understanding of AI/ML concepts including MLOps, technologies and cloud technologies/frameworks such as Jupyter, Docker, Kubernetes, Github, SAP BTP, Optical Character Recognition (OCR), Natural Language Processing (NLP), Computer Vision (CV).
• Experience in variety of Python libraries and Machine Learning frameworks (Numpy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch, gensim, etc)
• Interest in business process engineering and modeling.
• Good understanding of ITIL and ITSM.
• Able to take ownership of one’s work and collaborate with others.

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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.

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: 394288  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

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