Principal Associate, Data Science - Risk Capital and Analytics at Capital One (Washington DC)
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Center 2 (19050), United States of America, McLean, Virginia
Principal Associate, Data Science - Risk Capital and Analytics
Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation's top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.
At Capital One, data is at the center of everything we do. When we launched 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 distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
On any given day you'll be:
-Using Hadoop and related tools (Pig, Hive, Impala) to manage the analysis of billions of customer transaction records
-Writing software to clean and investigate large, messy data sets of numerical and textual data
-Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)
-Creating machine learning models from development through testing and validation to our 30+ million customers in production
-Designing rich data visualizations to communicate complex ideas to customers or company leaders
-Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow
The Ideal Candidate will be...
-Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You probably have a diploma and an impressive GPA, or you dropped out of college, taught yourself and routinely win Kaggle competitions.
-Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.
-Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you've shipped and what's flopped.
-Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.
Twenty-five years after Capital One was started it's still led by its founder. Be ready to join a community of the smartest folks you've ever met, who see the customer first, and want to use their data skills to make a difference.
Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation's top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.
At Capital One, data is at the center of everything we do. When we launched 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 distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
On any given day you'll be:
-Using Hadoop and related tools (Pig, Hive, Impala) to manage the analysis of billions of customer transaction records
-Writing software to clean and investigate large, messy data sets of numerical and textual data
-Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)
-Creating machine learning models from development through testing and validation to our 30+ million customers in production
-Designing rich data visualizations to communicate complex ideas to customers or company leaders
-Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow
The Ideal Candidate will be...
-Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You probably have a diploma and an impressive GPA, or you dropped out of college, taught yourself and routinely win Kaggle competitions.
-Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.
-Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you've shipped and what's flopped.
-Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.
Twenty-five years after Capital One was started it's still led by its founder. Be ready to join a community of the smartest folks you've ever met, who see the customer first, and want to use their data skills to make a difference.
Basic Qualifications:
-At least a PhD OR a Master's Degree and a minimum of 1 year experience OR a Bachelor's Degree and a minimum of 6 years of experience
-At least 1 year experience in open source programming languages for large scale data analysis
-At least 1 year experience with machine learning
-At least 1 year experience with relational databases
-At least 1 year experience with SQL
Preferred Qualifications:
-3+ years' experience in open source programming languages for large scale data analysis
-3+ years' experience with machine learning
-3+ years' experience with relational databases
-3+ years' experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No Agencies please.
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status protected by applicable national, federal, state or local law.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
Basic Qualifications:
-At least a PhD OR a Master's Degree and a minimum of 1 year experience OR a Bachelor's Degree and a minimum of 6 years of experience
-At least 1 year experience in open source programming languages for large scale data analysis
-At least 1 year experience with machine learning
-At least 1 year experience with relational databases
-At least 1 year experience with SQL
Preferred Qualifications:
-3+ years' experience in open source programming languages for large scale data analysis
-3+ years' experience with machine learning
-3+ years' experience with relational databases
-3+ years' experience with SQL
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Science - Risk Capital and Analytics
Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation's top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.
At Capital One, data is at the center of everything we do. When we launched 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 distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
On any given day you'll be:
-Using Hadoop and related tools (Pig, Hive, Impala) to manage the analysis of billions of customer transaction records
-Writing software to clean and investigate large, messy data sets of numerical and textual data
-Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)
-Creating machine learning models from development through testing and validation to our 30+ million customers in production
-Designing rich data visualizations to communicate complex ideas to customers or company leaders
-Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow
The Ideal Candidate will be...
-Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You probably have a diploma and an impressive GPA, or you dropped out of college, taught yourself and routinely win Kaggle competitions.
-Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.
-Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you've shipped and what's flopped.
-Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.
Twenty-five years after Capital One was started it's still led by its founder. Be ready to join a community of the smartest folks you've ever met, who see the customer first, and want to use their data skills to make a difference.
Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation's top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.
At Capital One, data is at the center of everything we do. When we launched 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 distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
On any given day you'll be:
-Using Hadoop and related tools (Pig, Hive, Impala) to manage the analysis of billions of customer transaction records
-Writing software to clean and investigate large, messy data sets of numerical and textual data
-Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)
-Creating machine learning models from development through testing and validation to our 30+ million customers in production
-Designing rich data visualizations to communicate complex ideas to customers or company leaders
-Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow
The Ideal Candidate will be...
-Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You probably have a diploma and an impressive GPA, or you dropped out of college, taught yourself and routinely win Kaggle competitions.
-Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.). You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.
-Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you've shipped and what's flopped.
-Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.
Twenty-five years after Capital One was started it's still led by its founder. Be ready to join a community of the smartest folks you've ever met, who see the customer first, and want to use their data skills to make a difference.
Basic Qualifications:
-At least a PhD OR a Master's Degree and a minimum of 1 year experience OR a Bachelor's Degree and a minimum of 6 years of experience
-At least 1 year experience in open source programming languages for large scale data analysis
-At least 1 year experience with machine learning
-At least 1 year experience with relational databases
-At least 1 year experience with SQL
Preferred Qualifications:
-3+ years' experience in open source programming languages for large scale data analysis
-3+ years' experience with machine learning
-3+ years' experience with relational databases
-3+ years' experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
No Agencies please.
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status protected by applicable national, federal, state or local law.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
Basic Qualifications:
-At least a PhD OR a Master's Degree and a minimum of 1 year experience OR a Bachelor's Degree and a minimum of 6 years of experience
-At least 1 year experience in open source programming languages for large scale data analysis
-At least 1 year experience with machine learning
-At least 1 year experience with relational databases
-At least 1 year experience with SQL
Preferred Qualifications:
-3+ years' experience in open source programming languages for large scale data analysis
-3+ years' experience with machine learning
-3+ years' experience with relational databases
-3+ years' experience with SQL
No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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