Data Scientist
Role details
Job location
Tech stack
Job description
Manage, monitor, and troubleshoot existing data integration pipelines feeding AI models, ensuring high data quality, reliability, and availability.
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Support AI Development Collaborate with R&D scientists to support training, validation, and optimization of machine learning and AI models.
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Data Analysis & Reporting Perform in-depth data analysis to extract actionable insights, answer research questions, and communicate findings through structured reports and visualizations.
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Troubleshoot & Problem-Solve Identify and resolve technical issues related to data access, software constraints, infrastructure, and model performance.
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Ensure Project Continuity Work closely with the team to maintain timelines and deliverables throughout the contract period, ensuring uninterrupted R&D operations.
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Documentation & Knowledge Transfer Maintain clear documentation of workflows, system modifications, and best practices to ensure transparency and continuity.
Requirements
- 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 data science or data analytics roles
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
- Solid experience with SQL and relational databases
- Practical experience with ETL principles and data pipeline management
- Foundational understanding of machine learning models and workflows
- Experience with image analysis techniques
- Familiarity with FAIR data principles
- Excellent analytical and problem-solving skills
- Ability to work independently in a small team environment
- Strong communication and documentation skills