Data Science Manager
Vor 3 Tagen
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
Summary:
At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.
The Role:
• Unique opportunity to build, steer, manage and mentor a team of highly-skilled Applied AI Scientists, and Data Engineers in our Business AI hub in Berlin. Drive the development of the SAP Foundation Model for structured data embedded in a variety of business applications.
• Be accountable for the success, quality, and delivery of mMachine lLearning components.
• Collaborate with cross-functional teams including product management and design to define product requirements and ensure the timely delivery of high-quality software products.
• Foster a culture of innovation, continuous improvement, and excellence in software development.
• Act as a problem solver to address organizational and process challenges, leveraging technical expertise to bridge gaps, streamline operations, and facilitate smooth execution of partnership initiatives.
• Maintain up-to-date knowledge of AI and dData eEngineering trends and apply this expertise to improve team performance and product quality.
• Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.
What you bring
• PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
• 10+ years of experience working as Data Scientist or similar roles, with experience in training large deep learning models and working with real world data. Experience in leading teams and projects in complex environments.
• Expertise in Foundation and Transformer Models, with a strong understanding of Machine Learning algorithms and techniques, especially in relation to structured data application in business.
• Deep understanding of issues and opportunities of applying Generative AI in a business context.
• Demonstrated exceptional leadership, interpersonal and organizational skills, with responsibilities including setting and achieving team goals, delegating tasks, mentoring team members, and effectively managing and communicating within large, diverse teams. Must demonstrate a track record of delivering results.
• Ideally, professional experience with Machine Learning on structured data such as in the ERP or CRM domain. Experience with data privacy-preserving AI is an plus.
• Very good communication skills in English language
Meet your team
SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.
#SAPBusinessAICareers, #SAPAICareers
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: 398168 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | #LI-Hybrid
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