Top Fintech Data Science Jobs in New York City, NY

Lead data science and AI execution across the Workplace Solutions business, focusing on analytics, machine learning, and partnerships to drive business growth and enhance user experience.

The Director, Data Science oversees data-driven solutions, manages the Data Science team, and collaborates with business units and product development to implement advanced techniques. Provides strategic leadership and mentorship to enhance team effectiveness.

The Data Scientist will lead AI strategy, manage risk analytics projects, develop machine learning models, and foster collaboration across departments at the Federal Reserve Bank.

The Data Scientist will develop predictive models and conduct complex analytics to support risk management strategies, collaborating with stakeholders and leveraging data.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

The Senior Data Scientist will develop credit risk predictive models, collaborate with engineering, and ensure high-quality data science product deployments while monitoring model performance.

As a Staff Data Scientist, you will enhance analytics across Flex by developing frameworks, dashboards, and causal analysis to drive strategic business outcomes.

The Data Scientist will lead ML development for customer experience, optimize AI systems, and collaborate with product and engineering teams to enhance customer interactions at Robinhood.

The data scientist will optimize credit and marketplace products using machine learning, create algorithms, analyze experiments, and manage ML infrastructure.

As an Applied Data Scientist, you will develop credit models and predictive systems for Clair’s products, utilizing machine learning and statistical modeling while collaborating with cross-functional teams to optimize credit decisions.