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The Sr. Business Manager in Global Workplace Services will lead the Workplace Analytics Team, focusing on using data and technology to improve workplace efficiency. Responsibilities include developing machine learning models, collaborating with cross-functional teams, mentoring analysts, and driving strategic business initiatives to enhance credit performance and operational excellence.

As a Distinguished Engineer - NetDevOps at Capital One, you will lead through technical contribution, define strategic network transformation, and drive innovation in cloud banking. Responsibilities include articulating technical vision, ensuring quality of design and implementation, and mentoring engineering teams.

As a Manager, Data Scientist on the Application Fraud Team, you will build machine learning models to prevent fraud, collaborate with cross-functional teams, and analyze large datasets using various technologies.

The Data Scientist will partner with a team to build machine learning models for fraud prevention at Capital One. Responsibilities include analyzing data, leveraging technologies like Python and AWS, and translating complex analysis into business goals. This role requires creativity, customer focus, and strong statistical skills.

As a Distinguished Engineer at Capital One, you will drive innovation in banking by providing technical leadership, mentoring teams, and creating scalable network solutions. You will work with various technologies and collaborate across domains to optimize technology strategies and practices.

As a Distinguished Engineer at Capital One, you will define banking's cloud future while leading technical contributions and mentoring teams. Responsibilities include optimizing business outcomes, driving innovation, serving as a trusted advisor, decomposing complex problems, and maintaining quality in designs and implementations.

As a Senior Associate Data Scientist at Capital One, you will leverage advanced technologies such as NLP and machine learning to build models using complex data sources. You will collaborate with engineers and business teams to develop innovative solutions that improve customer servicing and derive insights from data. The role involves engaging with both structured and unstructured data, while also defining data science solutions and guiding the creation of training datasets.