❗❗ 100% Remote Werkstudent Opportunity B.Sc/M.Sc: Software Engineering for Data Analysis ❗❗
Please send only a CV, no cover letter is required!
Please use the Reference: Smelldect-DataAnalysis-Werkstud.
⭐ Position Overview
- We are looking for Bachelor and Master students (m/w/d).
- The project is already underway, and the position could be filled as early as September 2025.
- We seek a motivated Software Engineering student to join our team to work on a data analysis application.
- The ideal candidate will have experience with Python development and a passion for developing efficient software solutions.
- The position is based on a “Werkstudent” contract.
✅ Responsibilities
- Improve and extend a data analysis interface built with Dash Plotly: ( https://dash.plotly.com/ ).
- Develop data analysis pipelines using BentoML ( https://bentoml.com/ ) and Scikit-learn ( https://scikit-learn.org/ ).
- Develop unit and integration tests.
- Participate in technical and functional specifications definition.
✅ Qualifications
Please note: Applicants are not required to have all the qualifications listed below, but having some of them will be beneficial.
- Experience with version control tools, ideally Git.
- Experience with software life cycle management, ideally GitLab.
- Good knowledge of object-oriented development and design patterns.
- Experience with Python development language; Dash Plotly experience is a plus.
- Experience with database management.
- Experience with data analysis and machine learning, Scikit-learn experience is a plus.
- Basic knowledge of Linux operating system.
- Good problem-solving and analytical skills.
- Good communication and teamwork skills.
✅ Work Environment
- Full home office possible after the initial onboarding.
- The expected workload is around 15h per week.
- The hourly wage will be discussed during the negotiation process (560-1500 € / Month)
Gehalt: Bis zu 1.500,00€ pro Monat

Sprache:

• Englisch (Wünschenswert)
• Deutsch (Wünschenswert)

Arbeitsort: Homeoffic

Please refer the Job description for details