Top Data & Analytics Jobs in NYC, NY

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.

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.

The Data Science Manager at Capital One will lead the development of customer management valuation models using advanced machine learning solutions. They will collaborate with cross-functional teams to deliver business outcomes and communicate with senior stakeholders. The ideal candidate should have strong software engineering skills, proficiency in machine learning algorithms, and the ability to understand immediate business needs.

As a Principal Associate, Data Scientist at Capital One on the US Card Bureau Data Team, you will leverage analytic and technical skills to innovate and tackle business problems using credit bureau data. Responsibilities include developing credit bureau data SME, creating insightful features, developing strategic partnerships, performing deep dive analysis, and improving infrastructure.

Develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. Partner with Technology, Machine Learning, and other teams to integrate semantic technology into products and services. Communicate and advocate the value of ontology and semantics across the business. Develop standards and guidelines for ontology, data modeling, and data standardization. Troubleshoot and manage projects as assigned.

As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will work collaboratively with product and data science teams, inform ML infrastructure decisions, write and test application code, and automate deployment processes.