Senior Data Scientist, SAP Enterprise Cloud Services
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 will do
- Collect, prepare and structure data from various sources
- Analyze big data volumes to gain insights, detect pattern and trends
- Create and maintain notebooks for data analysis
- Development and Appliance of Models in the discipline of LLM, Machine Learning and Predictive Analytics
- Interpretation and Visualization of Analysis results
- Derive recommendations and provide support to decisions - based on the data analysis
- Continuous improvement of models and processes
- Develop new methods of analysis
What you bring
- Bachelor’s, Master’s or Ph.D. in Engineering, Computer Science, Statistics, or related field
- 4-8 years of hands-on experience in data science and machine learning
- Proficiency in Python
- Experience in statistical modeling, predictive analytics and data mining techniques
- Understanding of algorithm design, data cleaning, and feature engineering
- Ability to work in fast-paced, collaborative teams on multiple concurrent projects
- Analytical skills with the ability for abstract thinking, problem-solving skills and attention to detail
- Good communication skills, with the ability to convey complex data insights to non-technical stakeholders
Nice to have
- Experience with big data technologies (e.g. Databricks)
- Exposure to DevOps practic
Meet the Team
Join the Productization team, the group driving the ECS Delivery AIOps vision and strategy. We focus on AIOps end-to-end. By leveraging telemetry, automation, and machine learning to make operations smarter and more reliable. In close partnership with Data Science, we turn raw data into actionable insights and build rapid PoCs that validate and shape our AIOps roadmap. If you’re excited to transform operations with AI at scale, this is where you can make it happen.
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: 432491 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.