You will be responsible for maintaining and leveraging our unique data integration platform, supporting ongoing AI model development, and ensuring the seamless continuation of our R&D data workflows. This is a hands-on role for a data scientist who can quickly get up to speed on complex projects and contribute to our team's success from day one.

The Perfect Candidate:

The ideal candidate is a seasoned Data Scientist with 3–5 years of experience who bridges the gap between robust data engineering, scientific discovery, and machine learning optimization. They must be a Python and SQL expert capable of both maintaining complex ETL pipelines and performing sophisticated image analysis to support R&D initiatives. Beyond technical prowess, they should demonstrate a commitment to FAIR data principles and possess the communication skills necessary to document processes and ensure seamless project continuity.

Tasks & Responsibilities:

● 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.

Must Haves:

● 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.

We are fully committed to equal opportunity engagement and strive for diversity