Capital One
Financial Services
PrincipalAssociate,DataScientistUSCardMarketingIntelligence
“Principal Associate, Data Scientist - US Card Marketing Intelligence at Capital One. Skills: Data Science, Machine Learning, Statistical Modeling, Data Analysis, AWS. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of numeric and textual data”
What You'll Achieve.
Deliver a product customers love; Unlock the big opportunities that help everyday people save money, time and agony in their financial lives; Enable a revolution in marketing through the use of data science and machine learning
Industry & Context.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers.
What They're Looking For.
Must Have
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 (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, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice to Have
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), At least 1 year of 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
What You'll Do.
Build machine learning models through all phases of development
from design through training
Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of numeric and textual data
Analyze and create data solutions
Research and evaluate emerging technologies
Apply state-of-the-art methods
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love; Work with stakeholders to identify and improve the status quo
Communication Scope
Translate the complexity of your work into tangible business goals
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