Data Scientist Machine Learning Modeling

Role Overview: As a Data Scientist at our company, you will be responsible for developing and deploying advanced machine learning models using ensemble methods and cutting-edge ML algorithms in the US banking domain. Your expertise in this field will be crucial in contributing to our dynamic team. Key Responsibilities: - Develop and assist in deploying advanced machine learning models, specifically ensemble techniques, for various customer lifecycle use cases within the banking sector such as prescreen, acquisition, account management, collections, and fraud. - Collaborate with cross-functional teams to define, develop, and enhance predictive models that play a significant role in driving business decisions. - Utilize tools like Python and SQL to work with large datasets, extracting, cleaning, and transforming data to prepare it for modeling purposes. - Ensure the robustness, interpretability, and scalability of models within banking environments, ensuring they meet the necessary standards. - Utilize strong problem-solving skills to handle complex datasets and translate them into actionable insights. Qualifications Required: - Prior experience in developing and deploying machine learning models, particularly in the US banking domain, is essential. - Proficiency in tools like Python and SQL for working with large datasets is required. - Strong problem-solving skills and the ability to handle complex datasets are necessary for this role.,