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As a Principal Associate Data Scientist at Capital One, you will collaborate with a team to develop machine learning models that prevent application fraud. Your role involves leveraging technologies like Python and AWS to extract insights from large datasets, building models through all development phases, and communicating complex analyses to meet customer-focused goals.
As a Data Scientist at Capital One, you'll build and manage machine learning models to protect customers from fraud. Collaborating with a cross-functional team, you will utilize your technical skills to analyze large datasets, translate complex data into understandable insights, and contribute to creating customer-friendly products.
As a Data Scientist, you'll partner with a team to build machine learning models that combat application fraud. Your responsibilities include utilizing advanced technologies to analyze data, constructing models throughout all development phases, and translating complex analytics into actionable insights.
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As a Data Scientist in the Fraud Intelligence team, you will collaborate with data scientists, engineers, and product managers to build machine learning models that protect customers from fraud. You will leverage various technologies to analyze large volumes of data, develop models, and translate complex data insights into business objectives.
As a Lead Data Engineer, you'll design and develop technical solutions, collaborate on agile teams, and support data engineering processes. You'll work with various programming languages and cloud services to drive data handling and technology innovation at Capital One.
As a Senior Manager of Data Engineering at Capital One, you will lead a team to design, develop, and implement technical solutions, focusing on full-stack development and big data technologies. You will collaborate with Agile teams, manage people, and mentor engineers while driving data-driven solutions for business problems.
The Manager Data Science role involves leading the deployment and optimization of machine learning models in the Consumer Credit Risk Management team. You will collaborate with data scientists, software engineers, and product managers to deliver insightful products, leveraging technologies like Python and AWS. This role focuses on translating complex analyses into actionable business goals to enhance company performance.
As an Applied Researcher II at Capital One, you will collaborate with a cross-functional team to develop AI-powered products, utilizing technologies like Pytorch and AWS. Your responsibilities include building AI foundation models, conducting applied research, and translating complex work into business goals, all while staying current on emerging technologies and methodologies.
As an Applied Researcher II, you will collaborate with cross-functional teams to deliver AI-powered products, handle large volumes of data using Pytorch and other technologies, and engage in applied research to enhance customer interactions with banking. You will also participate in all phases of AI model development, from design to implementation.
As a Lead Data Engineer, you'll design and implement technical solutions in full-stack development, leveraging machine learning and data warehousing technologies while collaborating with Agile teams. You will stay updated on tech trends, mentor others, and develop cloud-based solutions to empower customers financially.
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