Top Data & Analytics Jobs in NYC, NY

The Senior Data Scientist will work with cross-functional teams to develop scalable AI/ML solutions, analyze large datasets, and build machine learning models while focusing on customer-centric product development and continuous innovation in data science practices.

The Principal Associate of Ontology and Data Modeling develops and maintains ontologies, collaborates with various Capital One teams on semantic technology integration, and governs optimized data models, while advocating for the use of semantic technology across enterprise initiatives.

As a Senior Data Scientist, you will collaborate with a team to deliver AI-powered products, leveraging advanced technologies to analyze large datasets, build scalable machine learning and NLP models, and improve customer interactions through innovative AI solutions.

As a Principal Data Scientist, you will lead data-driven projects in commercial banking, leveraging machine learning and data analysis to improve practices. You will work collaboratively, utilizing vast datasets and modern technologies to derive insights that drive crucial business decisions.

As an Applied Researcher II at Capital One, you will collaborate with a team to develop AI-powered products that enhance customer interactions and analyze vast datasets. You will engage in applied research, leveraging cutting-edge technologies to create high-performance AI models and drive innovation within the banking sector.

The Principal Associate of Ontology and Data Modeling develops and maintains enterprise ontologies and data models to support Capital One's data strategy. This role involves collaboration with various teams to advocate semantic technology and enhance data integration while adhering to W3C standards.

The Manager, Data Science - Consumer Identity Machine Learning at Capital One will lead the development of machine learning models to personalize customer experiences. Responsibilities include exploring clickstream data, developing predictive models, and partnering with product teams to improve business outcomes. The role entails working with massive data sets, ensuring accuracy, and enhancing operational efficiencies.