Data Scientist Associate Senior

As a Data Scientist Associate Senior at JPMorgan Chase within the Asset & Wealth Management, you will be an integral part of a dynamic team. Your distinctive skills will contribute to a winning culture and team. In this role, you will serve as a seasoned member of an agile team, working to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your primary responsibility will be to develop, test, and maintain critical data pipelines and architectures across multiple technical areas within various business functions to support the firm's business objectives. Your key job responsibilities will include designing and developing solutions that leverage AI capabilities for data management challenges. You will also be responsible for advising and leading the prioritization of research areas that support data management and governance. Furthermore, you will update and collaborate with our lines of business and corporate functions to identify co-development solutions focused on data management challenges. To be successful in this role, you must have formal training or certification in data science concepts and at least 3 years of applied experience. You should also have proven experience in deploying and managing machine learning models in production environments. A strong ability to monitor ML models in production, address model performance, and data quality issues effectively is essential. Additionally, you should have a working knowledge of security best practices and compliance standards for Machine Learning systems. Experience with infrastructure optimization techniques to enhance performance and efficiency will be beneficial. Proficiency in developing REST APIs using frameworks such as Flask or FastAPI for seamless integration into business solutions is also required. Preferred qualifications, capabilities, and skills for this role include experience with formal methods and formal verification. Knowledge of knowledge graphs and graph theory is a plus. Experience with data management will also be advantageous.,