Top Data & Analytics Jobs in NYC, NY

Lead the execution of data-driven insights to enhance digital products, utilize advanced machine learning and generative AI technologies to identify customer needs, build machine learning models, and translate complex work into tangible business goals.

Join Capital One's Commercial Data Science team as a Principal Data Scientist to partner with cross-functional teams in delivering products, building machine learning models, and mining insights from large datasets to make crucial business decisions.

As a Principal Data Scientist in Experimentation & Personalization at Capital One, you will partner with a cross-functional team to deliver customer-centric products using a broad stack of technologies, build machine learning models, and translate complex work into tangible business goals. The ideal candidate is customer-first, innovative, creative, a leader, technical, statistically-minded, and a data guru.

Collaborate with Agile teams to design, develop, test, and support technical solutions using full-stack development tools and technologies. Stay updated on tech trends and mentor other engineers. Deliver cloud-based solutions to drive powerful financial experiences for millions of customers.

As a Principal Data Scientist on the AI Training Team at Capital One, you will partner with a cross-functional team to deliver AI-powered products, leverage various technologies to analyze large volumes of data, and translate complex work into business goals. The ideal candidate is innovative, technically proficient, statistically-minded, and data-oriented. Basic qualifications include a Bachelor's degree plus 5 years of experience or a Master's degree plus 3 years in data analytics, along with experience in open-source programming languages, machine learning, and relational databases.

Partner with a cross-functional team to deliver AI-powered products, build AI foundation models, engage in applied research, and translate complex work into business goals.

The Principal Associate of Ontology and Data Modeling at Capital One is responsible for developing, implementing, and maintaining enterprise ontologies in support of the company's Data Strategy. This role involves partnering with various teams to integrate semantic technology into products and services, advocating for knowledge organization concepts, and staying updated on industry developments related to ontology use and data modeling.