Top Big Data Data Science Jobs in New York City, NY

The Data Scientist role involves developing algorithms and models for real-time decision making, collaborating with teams, and utilizing complex data in a high-frequency marketplace.

We seek a Staff Data Scientist to lead projects on provider performance analysis, build predictive models, and mentor team members, impacting healthcare quality and costs.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

The Senior Data Modeler I collaborates with teams to develop clinical data models, ensuring data integration and quality while maintaining knowledge bases for clinical concepts and monitoring performance.

The Senior Director, Global Fraud Analytics will define the global fraud analytics strategy, overseeing product direction and lifecycle management while leading AI initiatives and collaborating with data teams to deliver scalable analytics solutions.

The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to develop analytics engines and collaborate with teams to enhance business value and communication of results.

Lead data analysis for drug discovery in neuroscience, integrating diverse datasets and collaborating with cross-functional teams to develop therapeutic candidates and validate targets.

The Senior Data Scientist at LiveRamp will develop and maintain measurement models, translating complex statistical methodologies into scalable production pipelines and collaborating with cross-functional teams to enhance data collaboration for ad tech applications.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.