Auf einen Blick
- Aufgaben: As a Data Scientist, you'll design, code, test, and ensure quality in a collaborative team.
- Arbeitgeber: Join SAP, a leader in business application software, focused on innovation and collaboration.
- Mitarbeitervorteile: Enjoy flexible working models, a caring team environment, and various benefits tailored for you.
- Warum dieser Job: Be part of a dynamic team leveraging AI to drive impactful solutions globally.
- Gewünschte Qualifikationen: Bachelor's/Master's in computer science or related fields with 2+ years in data science required.
- Andere Informationen: SAP values diversity and inclusion, ensuring everyone can thrive and contribute their best.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € 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
In your role as Data Scientist (f/m/d), 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.
- Collaborate and work with teams spread across geographies and time zones.
- Work on the entire lifecycle of development projects, both customer specific and SAP-defined.
- Implement backlogs for functional and non-functional requirements.
- Design, develop, deploy and monitor efficient AI/ML modules that drive complex business applications.
- Adhere to SAP’s agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
- Work on multiple topics and technologies with adequate enablement.
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.
- 2+ years of software engineering experience in a data scientist role.
- Solid understanding of the mathematics related to data science – probability, statistics, linear algebra etc.
- Extensive knowledge of various machine learning algorithms and concepts used to build predictive models and Generative AI. Experience in working with GPUs to develop models. Prior experience in deploying machine learning models into production.
- In-depth knowledge in at least 1 of the data science domains – Text Analysis and Natural Language Processing, Neural Networks and Deep Learning, Signal Processing, Image/Video processing and recognition, Reinforcement Learning.
- Hands-on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
- DevOps knowledge (CI/CD, Jenkins, Pipeline Management) is desirable. Highly proficient in SQL and good knowledge of relational databases. Prior work experience with SAP BTP is desirable.
- Strong written and verbal communication skills. Demonstrate the ability to independently develop new concepts and stay current with academic research.
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.
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: #J-18808-Ljbffr
Data Scientist (f/m/d) for PCP Cross Technology and Architecture unit Arbeitgeber: SAP
Kontaktperson:
SAP HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist (f/m/d) for PCP Cross Technology and Architecture unit
✨Tip Number 1
Familiarize yourself with SAP's culture and values. Since they emphasize collaboration and inclusion, showcasing your ability to work in diverse teams and your passion for helping others can set you apart during the interview process.
✨Tip Number 2
Highlight your experience with machine learning algorithms and tools. Be prepared to discuss specific projects where you've implemented AI/ML solutions, as this will demonstrate your hands-on expertise and problem-solving skills.
✨Tip Number 3
Showcase your knowledge of DevOps practices. Since SAP values CI/CD and pipeline management, mentioning any relevant experience or certifications can help you stand out as a candidate who understands the full lifecycle of software development.
✨Tip Number 4
Prepare to discuss your approach to continuous learning. SAP is looking for self-motivated individuals who stay current with academic research, so be ready to share how you keep your skills sharp and adapt to new technologies.
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and required skills, such as experience with machine learning algorithms and proficiency in SQL.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your software engineering experience, knowledge of data science mathematics, and any hands-on experience with computational packages.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to work collaboratively in a team environment. Mention specific projects or experiences that demonstrate your problem-solving skills and technical expertise.
Showcase Continuous Learning: In your application, mention any recent courses, certifications, or projects that reflect your commitment to continuous learning in the field of data science and AI. This aligns well with SAP's focus on personal development and innovation.
Wie du dich auf ein Vorstellungsgespräch bei SAP vorbereitest
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science and how it drives innovation. Share specific examples of projects you've worked on that highlight your problem-solving skills and your ability to work with complex data sets.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with machine learning algorithms, AI/ML modules, and the computational packages mentioned in the job description. Highlight any hands-on experience you have with deploying models into production and working with GPUs.
✨Emphasize Collaboration Skills
Since the role involves working closely with a team across different geographies, share examples of how you've successfully collaborated with others in past projects. Discuss your communication style and how you ensure everyone is aligned towards common goals.
✨Prepare for Behavioral Questions
Expect questions that assess your adaptability and continuous learning mindset. Be ready to provide examples of how you've tackled challenges in fast-paced environments and how you stay current with advancements in data science.