Data Scientist
Data Scientist
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1 Vacancy
Job Description
We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.
As a Data Scientist/Researcher you will join an international team of data scientists and data engineers to help build machine learning-based cloud solutions. Our team works on real-world problems for SAPs customers especially in intelligent document processing such as extracting information from documents using AI. You will have the opportunity to work with large interesting datasets and learn about both traditional and modern AI techniques including the latest in Generative AI (GenAI). Youll also learn about best practices for building reliable and scalable AI solutions.
What youll do
- Implement machine learning and GenAI algorithms including large language models (LLMs) and transformers.
- Support the team in developing and testing AI solutions using real data.
- Assist in monitoring and improving the performance of our AI models by following MLOps best practices such as automated testing and model versioning with guidance from senior team members.
- Collaborate with different teams (Developers Product Managers and stakeholders) to help deliver high-quality AI products.
What you bring
- Knowledge of AI and data science with an interest in deep learning and GenAI (e.g. LLMs transformers).
- Experience with Python and machine learning libraries such as Scikit Learn TensorFlow or PyTorch (coursework or personal projects welcome).
- Experience with MLOps tools and practices (e.g. Docker CI/CD pipelines model monitoring).
- Analytical thinking curiosity and a desire to learn and grow.
- Awareness of ethical and privacy considerations in AI.
- Fluency in both written and spoken English.
Tech you bring
- Familiarity with Python and basic ML libraries (e.g. Scikit Learn PyTorch or Hugging Face Transformers).
- Experience with SQL or NoSQL databases is a plus.
- Experience with prompt engineering model fine-tuning and GenAI evaluation.
- Basic knowledge of MLOps tools and frameworks.
- Problem-solving mindset.
Tech youll learn
- The latest developments in applied ML AI and GenAI for real-world products.
- Best practices for building responsible and effective ML AI and GenAI solutions.
- Advanced MLOps methods for scalable and reliable machine learning operations.
Meet your team
As Intelligent Spend and Business Network we play a crucial role in addressing our customersend-to-end procurement travel and expense and external workforce needs with visibility and agility across the entire supply chain. Our data science team is a small team with diverse backgrounds which will value your individual contribution as well as your ability to collaborate effectively with the rest of the team to develop powerful and effective ML/AI 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. 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
SAPs 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 world.
SAP is committed to the values of Equal Employment Opportunity and provides 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:
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.
Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability in compliance with applicable federal state and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 433605 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid
Employment Type
Full-Time
