(Junior) Data Scientist (f/m/d) - GenAI and Finetuning LLMs in Python
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!
As a (Junior) Data Scientist (f/m/d), you will be responsible for generating insights and actionable improvements to our machine learning pipeline. You will measure and ensure the quality of our training data, tune prompts for large language models (LLMs), and finally measure the impact of your changes. You will communicate your insights with precision but made understandable to a general audience. Based on your interests, you will evaluate and measure new language models and approaches to guide our pipeline to higher accuracy and/or stake-out opportunities for applying our current pipeline to new domains based on available data.
- Analyzing and designing metrics for data quality and accuracy
- Presenting insights and deriving actionable improvements based on metrics
- Holistic (end-to-end) implementation of identified improvements
- Evaluating the feasibility of machine learning tasks and approaches
- Communicating insights to colleagues and collaborating with global teams
- Enhancing data visualization techniques
- Degree in Computer Science or a related technical field involving data analysis
- Proficiency in Python or C/C++ programming
- Experience with PyTorch, Sklearn, Scipy, or similar technologies
- Experience with machine learning and/or data science
- Familiarity with Linux or other UNIX systems
- Familiarity with SQL and relational databases
- Fluency in English, both verbal and written
Meet your team
We are a team of passionate software engineers, committed to delivering an exceptional CI/CD experience for developers worldwide. We value knowledge sharing and mentorship, fostering a culture that promotes career growth and personal development. As an equal opportunity employer, we welcome applicants from all backgrounds and strive to create an inclusive environment where everyone feels they belong. Within our team, we strive for flexibility to ensure our employees can perform at their best while maintaining personal well-being.
We build breakthroughs together
SAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.
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: [email protected].
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.
Job Segment
ERP, Cloud, Computer Science, Data Analyst, Linux, Technology, Data
Requisition ID
393031
Career Status
Graduate
Employment Type
Regular Full Time
Expected Travel
0 - 10%
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