Top Data Science Jobs in New York City, NY

The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.

As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.

The EDI Analyst will monitor and improve EDI systems within the IT team, focusing on supply chain processes such as procure-to-pay and order-to-cash. Responsibilities include developing EDI systems, performing quality control, maintaining documentation, and troubleshooting EDI issues.

The Senior Data Scientist will design and implement advanced machine learning and AI models to address complex business issues. They will work closely with research and development teams to define problem statements and deliver innovative solutions using big data tools.

The Senior Data Scientist will own analytics for multiple core workstreams, collaborating with cross-functional teams to understand user interactions with Peloton products, define KPIs, evaluate engagement trends, and provide data-driven insights for product strategy and improvements.

As an AI Research Scientist, you will lead the design and implementation of large-scale experiments, enhance existing products using advanced machine learning techniques, and publish research findings. You'll collaborate with partners on research initiatives and refine methodologies under minimal supervision.

As a Manager, Clinical Data Scientist at Pfizer, you will oversee clinical data management and ensure accurate, consistent data reaches medical departments. You will lead projects, promote standard operating procedures, provide guidance on data visualization tools, and liaise with research and service providers to ensure high-quality data management. Your role includes central monitoring and communication planning.