Top Data & Analytics Jobs

As a Principal Data Analyst at Capital One, leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include using Open Source/Digital technologies, partnering with the business for consultancy, driving data quality management, and more. Ideal candidates should have experience with scripting and data in various forms, and a degree in a STEM discipline.

Partner with a cross-functional team to deliver AI-powered products that change customer interactions with their money. Utilize Pytorch and other technologies to analyze large volumes of data and build AI models. Contribute to high-impact applied research for customer experiences. Translate technical work into business goals.

Sr. Distinguished Applied Researcher role at Capital One focusing on creating trustworthy AI systems in banking. Responsibilities include partnering with cross-functional teams, leveraging AI technologies, building foundation models, conducting applied research, and translating complex work into business goals.

The job involves partnering with a cross-functional team to deliver AI-powered products, leveraging various technologies to reveal insights within data, building AI foundation models, engaging in applied research, and translating complex work into tangible business goals.

The Director of Data Engineering will lead multiple teams to manage data and data products, implement a cohesive data strategy, and drive automation and machine learning initiatives. This role involves collaboration with various stakeholders to modernize tech stacks, deploy applications in AWS, and conduct design reviews to adhere to standards.

The Director of Data Engineering will lead and grow teams focused on data and software engineering, implement data strategies for the Enterprise Identity Platform, and modernize technology stacks while promoting collaboration across Agile teams. Responsibilities include overseeing AWS deployments, code reviews, and fostering innovation through best practices in data engineering and machine learning.

The Director of Data Engineering will oversee the management and development of data products, drive cohesive data strategies, and build teams delivering scalable data and fraud products. This role requires collaboration with various stakeholders, embracing new technologies and platforms, while ensuring adherence to engineering best practices.