Principal Data Scientist, US Card Management at Capital One
McLean, VA 22106
About the Job
Center 1 (19052), United States of America, McLean, VirginiaPrincipal Data Scientist, US Card ManagementData 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 DescriptionThe US Card Management Data Science team builds industry leading machine learning models to empower core underwriting decisions in the management of an existing credit card customer, such as credit limit increase
We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation
We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases
We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter. Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex 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.Creative
You thrive on bringing definition to big, undefined problems
You love asking questions and pushing hard to find answers
You’re not afraid to share a new idea.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 of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of 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)At least 1 year of experience working with AWSAt least 3 years’ experience in Python, Scala, or RAt least 3 years’ experience with machine learningAt least 3 years’ experience with SQLCapital One will consider sponsoring a new qualified applicant for employment authorization for this position."The minimum and maximum full-time annual salaries for this role are listed below, by location
Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting
Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhDCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Incentives could be discretionary or non discretionary depending on the plan."Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Learn more at the Capital One Careers website
Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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
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
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).SummaryLocation: McLean, VA; Richmond, VA; New York, NYType: Full time
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 DescriptionThe US Card Management Data Science team builds industry leading machine learning models to empower core underwriting decisions in the management of an existing credit card customer, such as credit limit increase
We collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation
We are a team of model developers, who own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases
We are also a team of creative problem solvers, who challenge the status quo on a continuous basis and are devoted to innovation to keep making our models more dynamic, adaptive, robust, and ultimately, smarter. Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationFlex 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.Creative
You thrive on bringing definition to big, undefined problems
You love asking questions and pushing hard to find answers
You’re not afraid to share a new idea.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 of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of 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)At least 1 year of experience working with AWSAt least 3 years’ experience in Python, Scala, or RAt least 3 years’ experience with machine learningAt least 3 years’ experience with SQLCapital One will consider sponsoring a new qualified applicant for employment authorization for this position."The minimum and maximum full-time annual salaries for this role are listed below, by location
Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting
Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Data Science PhDCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Incentives could be discretionary or non discretionary depending on the plan."Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Learn more at the Capital One Careers website
Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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 RecruitingAccommodation@capitalone.com
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
Careers@capitalone.comCapital
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 entitiesPlease 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).SummaryLocation: McLean, VA; Richmond, VA; New York, NYType: Full time
