Top Data Science Jobs in NYC, NY

As an Applied Data Scientist, you'll analyze CRE market trends using statistical and machine learning models, optimize data pipelines, and communicate insights effectively.

As a Data Scientist, you'll develop AI-driven solutions for engineering, analyze data for predictive modeling, and collaborate with engineers and customers, requiring strong expertise in deep learning and production-ready models.

Design and implement data pipelines, perform root cause analysis, ensure data accuracy, conduct exploratory analysis, develop predictive models, and create visualizations to optimize risk segmentation and support decision-making.

Data Scientist needed to analyze customer interactions, optimize product analytics infrastructure, ensure data quality, and generate insights using classical and LLM methods.

As a Data Scientist at SESAMm, you will conduct advanced data analysis, develop analytical models, maintain data pipelines, and collaborate across teams to enhance investment analysis.

The Senior Data Scientist will lead analytical projects, develop bespoke solutions for clients, manage teams, and present findings to drive client satisfaction and retention.

The role involves leading data quality management efforts, creating data management capabilities, and mentoring junior data scientists.

The Principal Data Scientist designs and develops models to assess risk and prevent fraud, leads data scientists, and manages complex datasets while communicating findings to technical and non-technical audiences.

The Lead Data Scientist at FanDuel will develop and implement recommendation models for personalized user experiences, analyzing data to enhance customer engagement, leading projects, and mentoring team members.

The Data Engineer will develop and optimize data pipelines for healthcare datasets, ensuring data quality and compliance with healthcare regulations, while collaborating with data scientists and engineers.