Strong experience in applied machine learning with large datasets and advanced statistical methods. Proficiency in Python and SQL. Knowledge of regression, decision trees, random forests, SVMs, clustering, and ensemble methods. Experience analyzing structured and unstructured data, with expertise in predictive modeling, optimization, and causal inference. Ability to translate complex business questions into data-driven solutions. Hands-on experience with Linux environments and both R&D and production software development. Bachelor’s degree in Computer Science with emphasis in Data Science, plus at least 5 years of relevant experience. Minimum of 3 years of professional experience using Python in data science projects.