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The Manager of Support Operations oversees IT service management, leading teams to improve end user support, manage incidents, changes, and problems, and ensure compliance with corporate policies. This role emphasizes accountability and operational efficiency to enhance the overall user experience.

As a Senior Manager of Data Engineering at Capital One, you will lead a team in developing cloud-based solutions and collaborate across Agile teams. You'll be responsible for mentoring engineers, overseeing application development and big data technologies, and ensuring robust coding standards. You'll leverage your experience with machine learning, multiple programming languages, and people management to drive impactful data initiatives.

The Principal Risk Associate will lead testing of operational risk controls, analyze results, and ensure effective challenge of controls, while documenting findings and providing feedback to business areas. This role involves managing relationships, performing data analysis, and identifying opportunities for improvements in risk management processes.

As a Principal Data Scientist at Capital One, you will lead the use of advanced machine learning and data science methods to drive business outcomes. Responsibilities include building ML models, collaborating with product teams, conducting experiments, and operationalizing solutions in production systems handling large datasets.

As a Senior Data Scientist on the AI Foundations team, you will collaborate with cross-functional teams to develop and implement AI-powered products. You will analyze large datasets using state-of-the-art technologies, particularly focusing on Natural Language Processing and Large Language Models. Your work will involve designing, training, and validating machine learning models to enhance customer interactions with Capital One's mobile app.

As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to improve customer experiences and business outcomes. You will research and apply emerging technologies in AI, engage with business and product teams, and ensure robust operational integration of models to serve millions of customers.

The Principal Data Scientist will conduct research and develop machine learning models, refine integration patterns for ML technologies, and collaborate with product and engineering teams. Responsibilities include building models, running experiments to improve customer experiences, and analyzing large datasets using various tools.