Il y a 5 heures
Data Scientist
- 27 février 2026
- 100%
- Temporaire
- Basel
À propos de cette offre
Jobdescription
Are you a Data Scientist with 3-5 years of experience who bridges the gap between robust data engineering, scientific discovery, and machine learning optimization?
If yes, this role is for you!!!
General Information:
Are you a Data Scientist with 3-5 years of experience who bridges the gap between robust data engineering, scientific discovery, and machine learning optimization?
If yes, this role is for you!!!
General Information:
- Start Date:asap
- Latest Possible Start Date:1.04.2026
- Planned Duration of Employment: 12 months
- Extension (for temporary contracts): rather unlikely
- Workload:100%
- Home Office: at least 50% on-site desired
- Travel:no
- Team: 2 people
- Working Hours: Standard
- Maintain Data Integration Tools: Manage and troubleshoot our existing data integration pipelines that feed our AI models, ensuring data quality and availability.
- Support AI Development: Collaborate with the R&D team to support the ongoing training, validation, and optimization of machine learning and AI models.
- Data Analysis & Reporting: Perform data analysis to extract insights, support research questions, and provide clear reports to the team.
- Troubleshoot & Problem-Solve: Address technical challenges related to data access, software limitations, and model performance.
- Ensure Project Continuity: Work closely with the existing team to ensure all project timelines and deliverables are met during the contract period.
- Documentation: Maintain clear and concise documentation of processes and any modifications made to existing systems.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- 3-5+ years of hands-on experience in a data science or data analytics role.
- Strong proficiency in Python and its scientific computing libraries (Pandas, NumPy, Scikit-learn).
- Experience with SQL and working with relational databases.
- Familiarity with the principles of ETL and experience with data pipeline management.
- A foundational understanding of machine learning concepts and models.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with a technical team.
- Familiarity with FAIR data principles.
- Experience with Image analysis techniques.
Diogo Melo
À propos de l'entreprise
Avis
4.7
- Style de management4.5
- Salaire et avantages3.5
- Opportunités de carrière4.0
- Ambiance et conditions de travail4.5
