We are hiring for Data Scientist urgently!

The successful candidate will play a key role in maintaining and leveraging our unique data integration platform, supporting ongoing AI model development, and ensuring the seamless continuation of R&D data workflows. This is a hands-on position for a data scientist who can quickly onboard complex systems, contribute immediately, and ensure operational continuity within a high-impact research environment.

The Ideal Candidate:

You are a seasoned Data Scientist with 3–5+ years of experience, capable of bridging robust data engineering, scientific discovery, and machine learning optimization.

You combine:

• Strong technical expertise in Python and SQL
• Experience maintaining and optimizing ETL pipelines
• Hands-on knowledge of image analysis techniques
• A solid understanding of machine learning principles
• A commitment to FAIR data principles

Beyond your technical skills, you are structured, solution-oriented, and collaborative. You document your work clearly and ensure knowledge transfer to guarantee smooth project continuity.

Tasks & Responsibilities:

• Maintain Data Integration Tools
• Manage, monitor, and troubleshoot existing data integration pipelines feeding AI models, ensuring high data quality, reliability, and availability.
• Support AI Development
• Collaborate with R&D scientists to support training, validation, and optimization of machine learning and AI models.
• Data Analysis & Reporting
• Perform in-depth data analysis to extract actionable insights, answer research questions, and communicate findings through structured reports and visualizations.
• Troubleshoot & Problem-Solve
• Identify and resolve technical issues related to data access, software constraints, infrastructure, and model performance.
• Ensure Project Continuity
• Work closely with the team to maintain timelines and deliverables throughout the contract period, ensuring uninterrupted R&D operations.
• Documentation & Knowledge Transfer
• Maintain clear documentation of workflows, system modifications, and best practices to ensure transparency and continuity.

Must-Have Qualifications:

• 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 e