Data Scientist Machine Learning Modeling

You will be part of a dynamic team as an experienced Data Scientist specializing in advanced machine learning techniques. Your main responsibilities will involve developing and deploying models using ensemble methods and cutting-edge ML algorithms, particularly in the US banking domain. Your key responsibilities will include developing and deploying advanced machine learning models, specifically ensemble techniques, for various customer lifecycle use cases such as prescreen, acquisition, account management, collections, and fraud. You will collaborate with cross-functional teams to define, develop, and enhance predictive models that support business decisions. Working with large datasets, you will utilize tools like Python and SQL to extract, clean, and transform data for modeling purposes. It will be crucial to ensure the robustness, interpretability, and scalability of models within banking environments. Strong problem-solving skills will be essential in handling complex datasets and translating them into actionable insights.,