Capital One National Association
Principal Associate, Data Scientist
Capital One National Association, Mc Lean, Virginia, us, 22107
Locations: VA - Richmond, United States of America, Richmond, VirginiaOverview
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 & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement, segmentation, and customer value modeling. If you enjoy the challenge of creating best-in-class solutions that provide long term value in rapidly changing space, this is the role for you.Role Description
In this role you will
Partner with a cross-functional team of data scientists, business analysts, software engineers, and product managers to deliver a product customers loveBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationLeverage a broad stack of technologies — Python, Kubeflow, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataFlex your interpersonal skills to translate the complexity of your work into tangible business goalsThe ideal candidate is
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 1 year experience in open source programming languages for large scale data analysisAt least 1 year experience with machine learningAt least 1 year experience with relational databasesPreferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)3+ years’ experience in open source programming languages for large scale data analysis3+ years’ experience with machine learning3+ years’ experience with relational databases3+ years’ experience with SQLExperience with Kubeflow PipelinesExperience with XGBoost
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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 & Valuations Data Science Team in the Retail Bank builds models that improve marketing efficiency and drive account growth via intelligent targeting, measurement, segmentation, and customer value modeling. If you enjoy the challenge of creating best-in-class solutions that provide long term value in rapidly changing space, this is the role for you.Role Description
In this role you will
Partner with a cross-functional team of data scientists, business analysts, software engineers, and product managers to deliver a product customers loveBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationLeverage a broad stack of technologies — Python, Kubeflow, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataFlex your interpersonal skills to translate the complexity of your work into tangible business goalsThe ideal candidate is
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 1 year experience in open source programming languages for large scale data analysisAt least 1 year experience with machine learningAt least 1 year experience with relational databasesPreferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)3+ years’ experience in open source programming languages for large scale data analysis3+ years’ experience with machine learning3+ years’ experience with relational databases3+ years’ experience with SQLExperience with Kubeflow PipelinesExperience with XGBoost
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