Senior Data Scientist
Senior Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
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 Senior Data Scientist/Senior Researcher you will work within an international team of data scientists and data engineers to deliver top-grade machine learning-based cloud solutions into production. We solve real-world challenges posed by SAPs customers and product units with a focus on intelligent document processing e.g. information extraction OCR and entity recognition. You will take one of the richest data sets available in industry to the next level leveraging both traditional and cutting-edge AI techniques including the latest advancements in GenAI while embracing a strong MLOps culture to ensure robust scalable and maintainable solutions.
What youll do
- Explore understand and implement the most recent machine learning and GenAI algorithms and approaches including large language models (LLMs) transformers and prompt engineering.
- Push the frontiers of what is possible in the area of machine learning with real data.
- Work with interdisciplinary teams of developers designers and business experts to develop solutions with real measurable customer impact including the integration of GenAI capabilities
- Help to ensure performance reliability and ongoing improvement of our model deliverablesincluding GenAI modelsby applying MLOps best practices such as automated testing continuous integration/continuous deployment (CI/CD) monitoring and model versioning in close collaboration with development teams.
- Naturally work cross-group (Developers Product Managers and stakeholders) to bring teams together and deliver state-of-the-art applied AI products. Provide technical leadership to junior members of the team.
What you bring
- In-depth AI and data science knowledge with a focus on deep learning and GenAI (e.g. LLMs transformers).
- Strong software engineering skills using Python and machine learning software packages such as TensorFlow PyTorch and Hugging Face Transformers.
- Experience with MLOps tools and practices (e.g. MLflow Kubeflow Docker CI/CD pipelines model monitoring and automated testing).
- Analytical mindset curiosity and a drive to produce excellent solutions.
- Understanding of practical ethical and privacy concerns surrounding AI and GenAI development including responsible AI practices.
- Past experience of building productionized deep learning and/or GenAI models.
- Experience in designing fine-tuning and deploying models for tasks such as text extraction summarization question answering or information retrieval.
- Fluency in both written and spoken English.
Tech you bring
- Mastery of Python and Python libraries for ML and GenAI (e.g. Scikit Learn PyTorch Hugging Face Transformers LangChain).
- Experience with SQL or NoSQL databases.
- Familiarity with prompt engineering model fine-tuning and evaluation of GenAI models.
- Hands-on experience with MLOps tools and frameworks for model deployment monitoring and lifecycle management.
- Critical thinking capability.
Tech youll learn
- Latest developments in applied ML AI and GenAI in customer-facing products.
- Best practices for building functional compliant and responsible ML AI and GenAI solutions.
- Advanced MLOps methodologies 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: 433606 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid
Required Experience:
Senior IC
Employment Type
Full-Time
