Top Data & Analytics Jobs

As an Applied Researcher II at Capital One, you will collaborate with cross-functional teams to deliver AI-powered products, utilizing technologies like Pytorch and AWS. Your role includes building AI foundation models and engaging in applied research to enhance customer experiences with innovative AI solutions.

As a Data Analyst at Capital One, you'll analyze data to support decision-making processes, write SQL to clean and transform data, and utilize statistical modeling techniques to provide insights. You will help to personalize credit card offers and drive customer-focused innovations in financial services.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to design and implement cloud-based solutions. You will work with machine learning, distributed microservices, and full-stack systems, while mentoring fellow engineers and driving technology transformations.

The Senior Data Engineer will collaborate with Agile teams to design and support technical solutions, focusing on data pipelines and cloud-based services. Responsibilities include coding, testing, and delivering data solutions while mentoring team members and staying updated on tech trends.

The Senior Director of Technical Program Management will oversee strategic initiatives in the Enterprise Data and Machine Learning division, optimizing data management and driving innovation through complex technical projects. The role involves aligning cross-functional teams, ensuring successful delivery of data-driven solutions, and fostering a strong TPM discipline within the organization.

As a Lead Machine Learning Engineer, you will focus on automating model governance, building optimized data pipelines, collaborating with cross-functional teams, leveraging cloud technologies, and advocating for best practices in software and machine learning engineering.

The Senior Systems Integrator will lead the design and implementation of multi-platform application systems. Responsibilities include partnering with teams for technical solutions, managing troubleshooting, providing consultancy for data solutions, and leveraging analytical skills for efficient implementation. Requires strong communication to engage with diverse stakeholders and an ability to automate and integrate complex systems.