Capital One
Financial Services
PrincipalAssociate,DataScientist-USCardMarketingIntelligence
Neural analysis suggests this role is
optimal for Principal candidates.
“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
Full Job Description
Principal Associate, Data Scientist - US Card Marketing Intelligence Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. ****Team Description**** The Marketing Data Science team, within the Card organization, is working to enable a revolution in marketing through the use of data science and machine learning. The vast amount of data, variety of quickly-evolving marketing channels, and hunger for analytics all intersect to make Capital One's marketing space a target-rich environment for optimization through data science and machine learning. We use a full spectrum of data science and machine learning techniques to solve unique marketing challenges, and our growing team is just scratching the surface of what we can do. ****Role Description**** ****In this role, you will:**** * 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
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