Data Science Working Student

vor 4 Monaten


Walldorf, Deutschland SAP Vollzeit

**We help the world run better**

**ABOUT THE TEAM**

The Infused Intelligence is responsible for delivering innovative and user-centric cloud solutions through different ML technologies to internal stakeholders. Team members are building cutting-edge models to delivery into solution areas ranging from marketing to post-sales, HR, and finance. Model building includes data ingestion, cleansing and analysis, model training and evaluation, as well as deployment to SAP environments like SAP HANA, SAP Analytics Cloud, and SAP Cloud Foundry, as well as Azure Databricks. As every use case is unique and explicitly tailored to SAP’s own data and architecture, every use case offers research and development perspectives. 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 and software engineers on ML modeling and deployment pipelines at all stages of development: data exploration, model training, model fine-tuning and optimization, productive deployment, testing.
- Communicate with stakeholders to understand business processes and model input data.
- Support a high-visibility project along experienced data scientists.

**ROLE REQUIREMENTS**

Must have:

- Bachelor’s Degree in Data Science or related fields,
- Proficiency in Python and at least one of the other programming languages (e.g. Java, R, SQL),
- Experienced with data analysis and visualization packages in Python or R (e.g. Pandas, numpy, scikitlearn, statsmodels, matplotlib, ggplot2, dplyr, etc.),
- Experience in one or more machine learning frameworks (scikit-learn, pytorch, tensorflow, keras)
- Knowledgeable on large scale data analysis with spark, pyspark
- Good understanding of statistical methods (descriptive analyses, regression modeling, etc.)
- Strong oral and written communication skills in English.

Nice to have:

- 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 in writing tests for ML models.- #Workingstudent #Werkstudent #Internship #Praktikum #Thesis #Germany #Deutschland #Student_

**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.

Requisition ID: 375506 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid


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