Senior Data Scientist - Private Cloud
SAP
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
• You will work with a team of highly technical and motivated developers
- Collaborate and work with teams spread across geographies and time zones
- You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions
- Implement backlogs for functional and non-functional requirements
- Design, develop, deploy and monitor efficient AI/ML modules that drives 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
- You will work on multiple topics and technologies with adequate enablement
What you bring:
Educational Qualification
- Bachelors/master’s degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
Work Experience
- 8+ years of industry experience in a data science role.
Skills and Competencies:
- Extensive knowledge of various machine learning algorithms and concepts used to build predictive models
- Develop and deploy applications based on Large Language Models (LLM) and Gen AI based products
- Apply prompt engineering, fine-tuning, and RAG techniques to improve model accuracy and reliability
- Design and implement AI pipelines (data ingestion, embeddings, vector databases, knowledge retrieval)
- Collaborate with backend and frontend engineers to build production-ready APIs and interfaces
- Implement guardrails, safety mechanisms, and bias detection to ensure responsible AI usage
- Understanding of Agent development and frameworks like Lang graph
- Understanding of UI development in Python
- In-depth knowledge in the following data science domains:
- Text Analysis and Natural Language Processing
- Neural Networks and Deep Learning
- Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools
- Software engineering experience of AI related projects, using advanced techniques like vector databases, LLMs, and NLPs
- Prior experience in deploying machine learning models into production
- Experience in working with GPUs to develop models
- Possess strong interpersonal and stakeholder management skills
- Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
- Strong written and verbal communication skills
- Demonstrated the ability to independently develop new concepts and stay current with academic research
Expectations and Tasks:
- Conceptualize, design, and deliver high quality solutions and insightful analysis
- Work on gathering data and requirements, participate in solution scoping and architecture, research, and prototyping innovative models
- Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact
- Interact with both - internal and external stakeholders
- Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team
- Be up to date with latest and best practices in delivering enterprise grade data science solutions
- Build credibility and trust with customers and project teams during project execution
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: Careers@sap.com
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.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 422516 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.