Top Data & Analytics Jobs

As a Manager, Data Scientist at Capital One, you will lead a team in developing generative AI-based solutions for financial data analysis. Responsibilities include fine-tuning language models, managing data annotation projects, and collaborating with engineers to optimize data pipelines. The role requires statistical modeling expertise and a passion for emerging technologies.

As a Senior Lead Data Engineer at Capital One, you will lead a team responsible for developing technical solutions, focusing on machine learning, microservices, and full-stack development. You will collaborate with teams to deliver cloud-based solutions and improve data processes, performing code reviews and mentoring members of the engineering community.

As a Senior Lead Data Engineer, you'll collaborate with Agile teams to design, develop, and implement technical solutions. You'll lead a team, utilizing various programming languages and cloud services while ensuring code quality through rigorous testing and performance tuning.

As a Senior Lead Data Engineer at Capital One, you'll lead a team of developers, collaborate within Agile teams to deliver cloud-based data solutions, and manage complex technical projects. You will leverage your expertise in machine learning, distributed microservices, and big data to enhance financial services offerings.

As a Senior Business Analyst at Capital One, you will analyze business challenges, develop strategies, support marketing efforts, and enhance credit risk models. This role involves collaboration with various teams to improve service and profitability while applying strong analytical skills to influence decision-making and drive results in a dynamic environment.

As a Senior Machine Learning Engineer, you will design, build, and deliver ML models and applications, working closely with product and data science teams. You will also automate testing and deployment, optimize data pipelines, and ensure high availability of ML applications. Responsibilities include collaborating in an Agile team, monitoring models in production, and applying best practices of machine learning engineering and Explainable AI.

The Senior Machine Learning Engineer will be responsible for productionizing machine learning applications, ensuring high performance and availability while collaborating with cross-functional teams. Key tasks include designing and deploying ML models, constructing data pipelines, and adhering to best practices in responsible AI.