Top Data Science Jobs in New York City, NY

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.

The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.

The Data Scientist will develop algorithms and applications to extract insights from data, perform statistical analysis, create visualizations, and optimize AI/ML frameworks. Responsibilities include troubleshooting service offerings, collaborating with teams for model scalability, and consolidating big data sources.

The Senior MEDITECH Consultant provides consulting services, serves as a subject matter expert in MEDITECH projects, and collaborates with clients for system build and implementation. Responsibilities include troubleshooting, mentoring teams, analyzing workflows, conducting gap analysis, and leading projects as needed.

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.