Top Hybrid 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.

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.

The Senior Analyst, Marketing Science & Analytics will analyze and optimize marketing investments, evaluate campaign effectiveness, develop measurement strategies, and collaborate with various teams to ensure proper measurement of marketing spend. The role involves reporting on marketing performance and promoting experimentation to identify growth opportunities.

The Senior Credit Manager/Senior Staff Data Scientist will analyze data to propose credit risk strategies for lending products, specifically focusing on Personal Loans. Responsibilities include developing underwriting strategies, monitoring risk trends, collaborating with cross-functional teams, and driving value through data-driven decision-making.

As a Senior Data Scientist, you will analyze complex data sets related to private markets and alternative investments, develop models, create visualizations, and collaborate with teams to build data-driven products. You will also leverage advanced SQL and work with unstructured data to extract insights.