Working Student (f/m/d) - Data Science working student for Sales

We help the world run better. 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.

ABOUT THE TEAM

The Infused Intelligence team is responsible for delivering innovative and user-centric cloud solutions through different AI/ML technologies to internal stakeholders. Team members are building cutting-edge AI solutions for delivery into different lines of business ranging from marketing to post-sales, HR, and finance. The AI lifecycle where the team contributes includes data ingestion, processing, cleansing and analysis, model training and evaluation, as well as deployment to SAP environments like SAP HANA, SAP Analytics Cloud, and SAP BTP, as well as to hyperscaler partner offerings, leveraging MLOps practices. In our team, you will analyze data for one of our new use cases and build a state-of-the-art model impacting our standard business processes.

THE ROLE

• Work with a team of data scientists, data, MLOps and software engineers on ML modeling and deployment of pipelines at all stages of development: data exploration, model training, model fine-tuning and optimization, productive deployment, testing and monitoring.
• Communicate with stakeholders to understand business processes and model input data.
• Support a high-visibility project along experienced data scientists and AI developers.
• Learn about applying data-centric AI development practices.
• Work with a modern cloud stack (SAP BTP, Hyperscaler offerings).

ROLE REQUIREMENTS

• Bachelor's Degree in Data Science or related fields.
• Proficiency in Python and at least one other programming language (e.g. Python, Java).
• Experience with basic data science and data visualization packages in Python (e.g., pandas, numpy, seaborn, statsmodels, matplotlib, etc.), working in notebook-based (e.g. Jupyter).
• Experience in one or multiple machine learning frameworks (e.g. sklearn, pytorch, tensorflow, keras, MLLib).
• Knowledgeable on large scale data analysis with spark.
• Good understanding of statistical methods (descriptive analyses, regression modeling, etc.) and model quality assessment (custom metrics, creation of validation sets, etc.).
• Strong oral and written communication skills in English.
• General interest in applied machine learning to solve business problems.
• Experience working with complex tabular data (preprocessing, solving data leakage problems, imbalanced data problems).

• Experience with explainability and interpretability of machine learning models (SHAP, glass-box models).
• Familiar with software version control (e.g. GitHub, Git).
• Experience with CI/CD frameworks (e.g. Jenkins, Concourse, Gitlab CI/CD).
• Experience with MLOps tools (e.g., mlflow).
• Experience in writing tests for ML models.
• Interest in building model evaluation pipelines.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

This is an SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

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. 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.