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In this role, you'll design, develop, test, and support full-stack solutions, collaborating with Agile teams and digital product managers. You'll stay updated with tech trends, mentor others, and deliver cloud-based solutions to enhance financial empowerment for 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.

As a Senior Data Analytics Manager at Capital One, you will partner cross-functionally with teams to validate business impacting analytical tools, enhance technical and analytical skills, and influence business strategies. Responsibilities include refining a new enterprise-wide analytical tools validation framework, planning and executing validation projects, assessing tool methodologies, researching best practices, and mentoring junior staff. The ideal candidate will possess problem-solving, communication, and leadership skills in a fast-paced environment. Basic qualifications include a Bachelor's Degree with 7 years of experience, or a Master's Degree with 5 years of experience, or a PhD with 2 years of experience.