Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics.
Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
PhD in a quantitative field.
Experience working with AWS.
At least 3 years’ experience in Python, Scala, or R.
At least 3 years’ experience with machine learning.
At least 3 years’ experience with SQL.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
Performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI).
Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Principal Data Scientist – Recommendation & Personalization Systems

Key skills