Auf einen Blick
- Aufgaben: Lead a team of AI Scientists and Data Engineers to develop innovative AI solutions.
- Arbeitgeber: Join SAP, a global leader in enterprise software, focused on collaboration and innovation.
- Mitarbeitervorteile: Enjoy a flexible work environment, personal development opportunities, and a culture of inclusion.
- Warum dieser Job: Be at the forefront of AI technology, shaping the future of business applications.
- Gewünschte Qualifikationen: PhD or Master's in relevant fields with 10+ years of experience in data science and leadership.
- Andere Informationen: Work in a diverse, international team dedicated to transforming business processes with AI.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
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 Machine Learning 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 Data Engineering 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 a 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.
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.
Data Science Manager (f/m/d): SAP Foundation Model for structured data Arbeitgeber: SAP AG
Kontaktperson:
SAP AG HR Team
Careers@sap.com
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Science Manager (f/m/d): SAP Foundation Model for structured data
✨Tip Number 1
Nutze dein Netzwerk! Sprich mit ehemaligen Kollegen oder Kommilitonen, die bereits bei SAP arbeiten oder gearbeitet haben. Sie können dir wertvolle Einblicke in die Unternehmenskultur und den Auswahlprozess geben.
✨Tip Number 2
Informiere dich über die neuesten Trends im Bereich Künstliche Intelligenz und Datenwissenschaft. Zeige in Gesprächen, dass du auf dem neuesten Stand bist und wie du diese Trends in die Entwicklung des SAP Foundation Models einbringen kannst.
✨Tip Number 3
Bereite dich darauf vor, konkrete Beispiele aus deiner bisherigen Berufserfahrung zu teilen, die deine Führungsqualitäten und technischen Fähigkeiten unter Beweis stellen. Denke an Situationen, in denen du Teams geleitet oder komplexe Projekte erfolgreich umgesetzt hast.
✨Tip Number 4
Zeige deine Leidenschaft für Innovation und kontinuierliche Verbesserung. Überlege dir, wie du eine Kultur der Innovation in deinem zukünftigen Team fördern würdest und sei bereit, diese Ideen während des Gesprächs zu präsentieren.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Science Manager (f/m/d): SAP Foundation Model for structured data
Tipps für deine Bewerbung 🫡
Align Your Profile: Carefully read the job description and align your skills and experiences with the requirements listed. Highlight your relevant experience in data science, AI, and team leadership.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Mention specific projects or achievements that demonstrate your expertise in Foundation Models and Machine Learning.
Highlight Leadership Experience: Since the role involves managing a team, emphasize your leadership experience. Provide examples of how you've successfully led teams, mentored colleagues, and delivered results in complex environments.
Showcase Communication Skills: Given the importance of collaboration in this role, make sure to highlight your communication skills. Provide examples of how you've effectively communicated within diverse teams and across functions.
Wie du dich auf ein Vorstellungsgespräch bei SAP AG vorbereitest
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Data Science Manager role at SAP. Familiarize yourself with the specific responsibilities, such as managing a team of Applied AI Scientists and Data Engineers, and driving the development of the SAP Foundation Model for structured data.
✨Showcase Your Leadership Experience
Prepare to discuss your past leadership experiences in detail. Highlight how you've successfully managed teams, set goals, and mentored team members, especially in complex environments. Be ready to provide examples of how you've delivered results in previous roles.
✨Demonstrate Technical Expertise
Be prepared to talk about your technical skills, particularly in Foundation and Transformer Models, and your experience with Machine Learning algorithms. Discuss any relevant projects where you've trained large deep learning models and worked with real-world data.
✨Stay Updated on AI Trends
Show your passion for continuous learning by discussing recent trends in AI and Data Engineering. Mention any new developments in Generative AI and how they can be applied in a business context, demonstrating your commitment to staying at the forefront of the industry.