
This management role leads a team of data scientists within the AI Foundations group, focusing on building next-generation recommendation and personalization systems for a Fortune 200 financial institution. The position involves partnering with cross-functional teams to design, train, and deploy high-scale machine learning models using technologies like Python, AWS, and Spark. Key responsibilities include architecting scalable ML pipelines, applying advanced techniques such as Transformer-based architectures and reinforcement learning, and translating complex data insights into tangible business outcomes. The role is appealing due to its opportunity to work at the intersection of deep research and massive real-world impact, leveraging cutting-edge tools to improve customer experiences across billions of records. The team operates in a collaborative environment that values innovation, customer-centricity, and technical excellence.



















