Capital One

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SeniorAssociate,DataScientist-USCard(ResiliencyIntelligence)

$136–155k McLean, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Associate, Data Scientist - US Card (Resiliency Intelligence) at Capital One. Skills: Data Scientist, machine learning, statistical modeling, Python, AWS. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. 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”

Industry & Context.

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Problems you'll solve

bringing definition to big, undefined problems; 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 2 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

Nice to Have

Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), At least 1 year of experience working with AWS, At least 2 years’ experience in Python, Scala, or R, At least 2 years’ experience with machine learning, At least 2 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 — Python

and more — to reveal the insights hidden within huge volumes of numeric and textual data

Partner with a cross-functional team of data scientists

and product managers to deliver a product customers love

Translate the complexity of your work into tangible business goals

How You'll Work.

Team & Collaboration

Partner with a cross-functional team of data scientists, software engineers, and product managers

Communication Scope

translate the complexity of your work into tangible business goals

Full Job Description

Senior Associate, Data Scientist - US Card (Resiliency 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 Resiliency Intelligence team helps our customers regain financial stability and drive business value through personalized solutions at scale. This is crucially important for customers that encounter financial hardship and need personalized resources to resolve outstanding balances. To achieve this, we use supervised and reinforcement learning models to predict customer needs and recommend optimal solutions. We write custom Python libraries and use open-source ML libraries like XGBoost, scikit-learn, and statsmodels. Our models define the treatment for millions of customers on a daily basis and your code will run in analytical and production environments. Our team’s ML solutions meaningfully impact the income of the US Card business and are a key value generator for the company. ****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

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