
Principal Data Analyst
1 week ago
As a Scientific Data Specialist, you will design and optimize data pipelines using Python and scientific libraries. This role requires expertise in data analysis, statistical techniques, and software development.
Key Responsibilities- Develop and optimize complex data pipelines for large datasets.
- Apply advanced analytical methods to spectral and/or imaging data.
- Ensure the reproducibility and scalability of analysis routines.
Required Skills:
- Python: Demonstrated experience in Python for data analysis and software development.
- Spectral and Imaging Data: Expertise working with spectral and/or imaging datasets.
- Statistical Techniques: Familiarity with multivariate statistical techniques (e.g., PLS, PCA, k-fold validation).
- Version Control: Ability to work with version control systems (e.g., Git) for collaborative development and reproducible code management.
- Communication: Strong communication and problem-solving skills, with experience working in multidisciplinary teams.
Benefits:
- Autonomy in a growing research team.
- Collaboration with physicists and engineers.
- Opportunities for professional growth and development.
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