Top Data & Analytics Jobs
The Senior Manager, Ontology and Data Governance will develop and implement enterprise ontologies in line with Capital One's data strategy. Key responsibilities include leading data standardization efforts, defining KPIs for ontology and data modeling, collaborating with tech leadership, mentoring associates, and promoting standards in ontology and semantics across the organization.
As a Senior Lead Machine Learning Engineer, you'll design, build, and implement machine learning applications, while collaborating with cross-functional teams. The role includes developing optimized data pipelines, maintaining models in production, and ensuring best practices in machine learning engineering and deployment.
As a Senior Manager Data Scientist at Capital One, you will partner with a cross-functional team to deliver products using a broad stack of technologies like Python, Conda, AWS, H2O, and Spark. You will build machine learning models and translate complex work into tangible business goals.
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Design, create, enhance, and execute data governance processes. Proactively manage change control and communicate impact to stakeholders. Lead the production of metrics to measure efficiency, effectiveness, and risk.
Manager, Data Scientist role at Capital One in the Commercial Banking Data Science team. Responsibilities include partnering with cross-functional teams, building machine learning models, mining insights from large datasets, and translating complex work into business goals. Ideal candidate is creative, a leader, statistically-minded, and a data guru.
As an Applied Researcher II at Capital One, you will work with a multidisciplinary team to deliver AI-powered products, engage in applied research, and build foundational AI models. You will leverage advanced technologies to analyze large datasets and translate complex work into actionable business goals, all aimed at improving customer experiences.
As a Sr. Distinguished Applied Researcher at Capital One, you'll lead AI initiatives, collaborating with cross-functional teams to develop AI-powered products. You'll engage in applied research, mentor applied scientists, and utilize technologies like Pytorch and AWS to enhance customer experiences while translating complex concepts into business goals.
The Distinguished Applied Researcher will lead the development of AI-powder products by collaborating with data scientists and engineers, utilizing a variety of technologies to analyze data, and pushing the boundaries of applied AI research to enhance customer experiences.
As an Applied Researcher I at Capital One, you will collaborate with a cross-functional team to develop AI-powered products. You'll apply machine learning techniques to analyze large datasets and contribute to the creation of AI foundation models while pushing innovations in customer experiences.
As an Applied Researcher II at Capital One, you will collaborate with cross-functional teams to develop AI-powered products, utilizing a variety of technologies to analyze data and build AI foundation models. Your role involves engaging in applied research to enhance customer experiences and translating complex AI methodologies into actionable business goals.
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