Data Scientist / Python Developer 100% (f/m/d)

Your challenge

Lead end-to-end development of data-driven models, from exploratory analysis and feature engineering through modeling, validation, deployment, monitoring, and comprehensive documentation Design, build, and optimize robust data pipelines to ensure high-quality, reliable, and timely access to structured and semistructured financial datasets Development and refinement of solutions to identify and resolve financial data anomalies, including prototyping new algorithms and improving existing methods Definition and implementation of meaningful performance metrics and impact analyses to evaluate model effectiveness against clear business objectives Support the migration and integration of existing models into a new, enterprise-wide data science platform to ensure scalability, reproducibility, and compliance Creating intuitive, interactive dashboards (e.g., via Tableau or similar tools) to visualize insights and facilitate stakeholder engagement Actively collaborating in agile, multidisciplinary teams—promoting best practices, peer review, knowledge sharing, and continuous improvement

Your profile

Master’s degree in Data Science, Statistics, Mathematics, Physics, Computer Science, or a related quantitative field (completed or in progress) Excellent analytical and problem-solving skills with a strong attention to detail Solid theoretical understanding of core concepts in probability and statistics, as well as familiarity with popular machine learning methods (experience with recommendation systems is a plus) Proven proficiency in Python for data analysis and automation (libraries such as pandas, scikit-learn, NumPy, PyTorch/TensorFlow), solid knowledge of SQL for querying large databases Familiarity with software engineering and DevOps principles, particularly in the areas of code versioning (Git), testing, CI/CD pipelines, and containerization (Docker, Kubernetes) is highly valued Fluent in English; Spanish is a plus

We offer

No information available