Data Scientist
(m/f/d)
Freelance/temporary employment for a project Basel Stadt Start date: asap Reference number: 863771/1
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Responsibilities
1. Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems
2. Support model development by assisting with training, validation, and optimization of machine learning workflows
3. Conduct data analysis to extract insights and provide clear reports supporting R&D research questions
4. Solve technical challenges related to data access, pipeline performance, and software limitations
5. Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines
6. Perform image analysis and prepare datasets required for scientific and ML use cases
7. Manage and improve ETL processes to ensure data quality, structure, and availability
8. Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility
Profile
9. Academic background in computer science, data science, engineering, or a related quantitative field
10. Strong proficiency in Python with expertise in scientific and analytical libraries
11. Skilled in SQL and working with relational databases
12. Understanding of ETL concepts and practical experience working with data pipelines
13. Solid foundation in machine learning principles and model lifecycle
14. Ability to perform image analysis for scientific or research applications
15. Strong communication and interpersonal skills with the ability to collaborate in a technical team
16. Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices
Benefits
17. Opportunity to contribute directly to active R&D projects with immediate real-world impact
18. Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment
19. Close collaboration with a small, highly skilled technical team