Top Data & Analytics Jobs in NYC, NY

As a Senior Manager in Machine Learning Engineering, you'll lead an Agile team focused on productionizing and optimizing ML applications at scale. Responsibilities include designing, building, and validating ML models, collaborating with cross-functional teams, implementing cloud-based architectures, and ensuring responsible AI practices. You'll also oversee the management of ML systems and lead teams towards developing scalable and efficient solutions in a fast-paced environment.

The Data Science Manager will develop advanced machine learning solutions for customer management valuation, maintaining model pipelines and translating data science outcomes into business insights, while collaborating with various stakeholders. This role requires strong engineering skills and proficiency in Python and machine learning algorithms.

As a Senior Data Scientist, you'll lead the development of machine learning models to enhance credit underwriting decisions and improve business card product strategies. Collaborate with data scientists, engineers, and product managers, leveraging technologies such as Python and AWS to uncover insights from large datasets while managing model risk and translating technical work into business objectives.

As the Manager of Data Scientist for Generative AI Systems, you will train and customize large language models for applications such as dialogue and image processing. Collaborating with a cross-functional team, you will leverage various technologies to extract insights from large datasets and contribute to research for top NLP conferences.

The Principal Data Scientist will work with a cross-functional team to improve commercial banking through data-driven solutions, develop machine learning models, mine insights from large datasets, and translate complex data into actionable business goals.

As a Senior Manager Data Scientist at Capital One, you will partner with a cross-functional team to deliver innovative solutions using Python, Conda, AWS, H2O, and Spark. You will build machine learning models, translate complex work into business goals, and drive data-driven decision-making.

In this role, you'll work with a cross-functional team to deliver AI-powered products, leveraging technologies such as Pytorch and AWS. You'll build AI foundation models, engage in applied research, and translate complex work into business goals, while innovating within the AI development process.