Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Responsibilities
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
Requirements
A 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
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
At least 3 years’ experience in Python
At least 3 years’ experience with machine learning- end-to-end development through deployment experience is a plus.
At least 3 years’ experience with SQL
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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