Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Develop AI use cases and automate business processes for unique customer needs.
- Arbeitgeber: Join SAP, a global leader in software solutions, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy flexible working models, a caring team environment, and various benefit options.
- Warum dieser Job: Be part of a purpose-driven team that helps over 400,000 customers worldwide succeed.
- Gewünschte Qualifikationen: Ph.D. preferred with 8+ years in data science; experience in AI and machine learning is essential.
- Andere Informationen: SAP values inclusion and offers accommodations for applicants with disabilities.
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. 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:
Are you ready to craft custom software that meets unique customer needs and integrates seamlessly with SAP?
Our unit, Customer Innovation Services (CIS), is the strategic RISE with SAP enabler, delivering differentiated innovations for our customers leveraging the SAP Business Technology Platform (BTP), S/4HANA and Business AI, focusing on a clean core approach.
As a Data Science Senior/Expert (f/m/d), your role is to develop AI use cases end to end, with the goal of increasing automation in business cases and to work on the entire lifecycle for customer specific projects. This lifecycle includes the analysis and specification of business requirements gathered in customer workshops as well as designing AI models to implementing them in customer projects and maintaining them afterwards.
What you bring:
- Degree in physics, mathematics, or similar field, ideally Ph.D.
- 8+ years of experience in delivering and/or managing data science projects. Several full project lifecycles desired.
- Experience in implementing Generative AI and Machine Learning use cases
- Support definition of use cases and be part of use case value generation
- Support the business use case development process from ideation to solution delivery with the aim to increase business case automation
- Create AI models by applying mathematical tools like classic AI, statistical concepts, stochastics and time series analysis
- Implement use cases in software, applying state of the art source code tools and cloud frameworks
- Excellent problem-solving capabilities
- Ability to cooperate with other Data Scientists in AI matters and with Development architects to define and implement a state-of-the-art overall solution
- Excellent presentation skills and experienced in customer interaction, such as customer workshops or technical management of customer escalations
- Comply with development standards and methodologies (Scrum, quality, security, performance)
- You show a self-motivating style of working combined with a continuous learning mindset
- Excellent verbal and written communication skills in English, German is a plus
- Track record with implementing AI use cases
- Experience in mathematical modelling and optimization
Meet your team:
In collaboration with customers, market and consultant units, the SAP Customer Innovation Services EMEA Build (Engineering) team is responsible for designing, building, running and maintaining solutions covering the full innovation lifecycle with strong focus on cloud and hybrid solutions.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. 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. 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:
Requisition ID: 404559 | Work Area: Software-Design and Development | Expected Travel: 0 – 30% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Posted Date: Dec 27, 2024
Location:#J-18808-Ljbffr
Data Science Senior/Expert (f/m/d) - Customer Specific Business AI Solutions CIS Arbeitgeber: SAP
Kontaktperson:
SAP HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Science Senior/Expert (f/m/d) - Customer Specific Business AI Solutions CIS
✨Tip Number 1
Familiarize yourself with SAP's Business Technology Platform (BTP) and S/4HANA. Understanding these technologies will help you demonstrate your ability to craft custom software solutions that meet unique customer needs.
✨Tip Number 2
Highlight your experience with Generative AI and Machine Learning use cases in your discussions. Be prepared to share specific examples of how you've implemented these technologies in past projects.
✨Tip Number 3
Showcase your problem-solving capabilities by discussing complex challenges you've faced in previous data science projects. Emphasize your approach to overcoming these challenges and the impact of your solutions.
✨Tip Number 4
Prepare to engage in customer interactions by practicing your presentation skills. Being able to effectively communicate technical concepts to non-technical stakeholders is crucial for this role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Science Senior/Expert (f/m/d) - Customer Specific Business AI Solutions CIS
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Science Senior/Expert position. Understand the key responsibilities and required skills, especially around AI use cases and data science project management.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 8+ years of experience in data science projects. Include specific examples of full project lifecycles you've managed, particularly those involving Generative AI and Machine Learning.
Showcase Your Skills: Clearly outline your technical skills related to mathematical modeling, optimization, and AI model creation. Mention any experience with cloud frameworks and source code tools that align with SAP's development standards.
Tailor Your Application: Customize your application materials to reflect SAP's values of collaboration and innovation. Use language from the job description to demonstrate your fit for the company culture and the specific role.
Wie du dich auf ein Vorstellungsgespräch bei SAP vorbereitest
✨Showcase Your Project Experience
Be prepared to discuss your previous data science projects in detail. Highlight your role in the project lifecycle, especially focusing on how you defined use cases and implemented AI solutions.
✨Demonstrate Problem-Solving Skills
Expect to face technical questions that assess your problem-solving capabilities. Use examples from your past work to illustrate how you approached complex challenges and developed effective solutions.
✨Emphasize Collaboration and Communication
Since the role involves working closely with customers and other teams, be ready to discuss your experience in collaborative environments. Share examples of how you effectively communicated technical concepts to non-technical stakeholders.
✨Stay Updated on AI Trends
Familiarize yourself with the latest trends in AI and machine learning, particularly in the context of business applications. Being knowledgeable about current technologies will demonstrate your commitment to continuous learning and innovation.
