Top Data & Analytics Jobs in NYC, NY
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.
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As a Senior Associate, Data Scientist in Marketing Analytics at Capital One, you will build machine learning models, conduct statistical analyses, and collaborate with cross-functional teams to deliver data-driven insights and solutions.
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.
As a Lead 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 closely with cross-functional teams to develop and implement machine learning applications at scale. Responsibilities include model training, infrastructure decision-making, and ensuring high availability and performance of ML applications.
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 collaborate with cross-functional teams to develop and implement ML applications at scale, leveraging cloud-based architectures and continuous integration best practices. The role requires at least 4 years of programming experience with Python, Scala, or Java, as well as expertise in designing data-intensive solutions and working with ML frameworks like scikit-learn and PyTorch.
The Senior Manager 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. They work collaboratively across business lines to develop domain ontologies and integrate semantic technology into products and services. Responsibilities include leading data standardization efforts, defining KPIs, mentoring associates, and staying informed on industry developments.
The Principal Associate, Security Intelligence Analyst at Capital One specializes in the collection, analysis, and interpretation of security risk intelligence information to support the safety and security of associates and business interests. Responsibilities include producing intelligence products, briefing leadership on potential security threats, monitoring geopolitical events, and providing intelligence support to operations.
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