13 - 19/year
Role & responsibilities 1. Develop and execute end-to-end data science projects, from data acquisition to model training and documentation. 2. Analyze recent research papers to understand state-of-the-art models, assessing strengths, weaknesses, and potential integration. 3. Implement and test models rigorously, addressing data quality and optimizing performance through validation and tuning. 4. Curate custom datasets based on specific requirements, ensuring accuracy, relevance, and appropriate feature engineering. 5. Analyze results using models and datasets, interpret insights, visualize findings, and communicate effectively through reports and presentations.