Top Data & Analytics Jobs in NYC, NY
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.
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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.
Collaborate with Agile teams to design, develop, test, and support technical solutions using Java, Scala, Python, and Cloud technologies. Drive major transformation at Capital One and deliver cloud-based solutions for financial empowerment. Conduct unit tests and code reviews for performance optimization.
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.
As a Manager, Data Scientist in the Generative AI Systems (Genesis) team at Capital One, you will lead the development and implementation of generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, and image/document processing. You will collaborate with cross-functional teams to deliver innovative products and contribute to cutting-edge research in NLP and AI/ML conferences.
Partner with a cross-functional team to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies to reveal insights in large volumes of data. Engage in high-impact applied research and translate technical work into business goals.
The Distinguished Applied Researcher will partner with a cross-functional team to deliver AI-powered products, build AI foundation models, and engage in high impact applied research.
Partner with a cross-functional team to deliver AI-powered products, leverage technologies to analyze data, build AI foundation models, engage in applied research, and translate complex work into business goals.
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