Top Hybrid Data Science Jobs in New York City, NY

The Data Science Manager will lead the development lifecycle of AI/ML products, architect data solutions, engage with clients, and publish industry insights while managing a team of scientists and engineers. Responsibilities include tackling complex business problems, training new talent, and contributing to ZS firm strategies in AI.

As a Senior Analyst in Marketing Science & Analytics, you will evaluate marketing effectiveness through data analysis, develop insights for campaign optimization, and collaborate with various teams to establish measurable goals. The role involves ensuring proper measurement methodologies are in place for performance marketing channels and providing regular reports on marketing performance.

As a Data Scientist in Product, you will work with engineering teams to transform data into actionable insights for product decisions. Your responsibilities include applying statistical methods, designing experiments, building dashboards, and influencing product roadmaps based on user interaction data.

As a Senior Research Scientist at Kensho, you will develop and deploy advanced NLP models, engage in collaborative research, and publish findings in top-tier conferences while working with diverse teams on challenges in machine learning and AI.

The Senior Staff AI Software Engineer will develop AI applications for Gusto that enhance operational efficiency for small businesses. Responsibilities include building applications, collaborating with Gusto's co-founder on code deployment, and mentoring junior engineers.

As an Associate Scientist at Pfizer, you will generate high-quality immunoassay data in a regulated GLP setting, support technology transfer and assay validation projects, and participate in clinical and non-clinical research. You will also perform immunological assays, assist in compliance with regulatory standards, manage inventory of reagents, and present project progress.

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.