Capital One National Association
Manager, Data Science - Marketing and Valuations
Capital One National Association, Richmond, Virginia, United States, 23214
West Creek 5 (12075), United States of America, Richmond, VirginiaManager, Data Science - Marketing and Valuations
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
This role will be leading the team that is building the next generation of Bank customer valuation models.In this role, you will:
Lead a team of data scientists in delivering advanced machine learning solutions that solve real, high impact business problems.Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions.Translate business goals into data science solutions and communicate with senior stakeholders.The Ideal Candidate is:
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience with software engineering techniques and developing end to end model pipelines in Python.You are experienced in various machine learning algorithms and predictive solutions.You are effective in communicating technical details to a variety of audiences.Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.At least 2 years’ experience in open source programming languages for large scale data analysis.At least 2 years’ experience with machine learning.At least 2 years’ experience with relational databases.Preferred Qualifications:
PHD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.At least 1 year of experience working with AWS.At least 4 years’ experience in Python, Scala, or R for large scale data analysis.At least 4 years’ experience with machine learning.At least 4 years’ experience with SQL.Experience with Kubeflow Pipelines.Experience with XGBoost.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.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.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.com .
#J-18808-Ljbffr
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
This role will be leading the team that is building the next generation of Bank customer valuation models.In this role, you will:
Lead a team of data scientists in delivering advanced machine learning solutions that solve real, high impact business problems.Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions.Translate business goals into data science solutions and communicate with senior stakeholders.The Ideal Candidate is:
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience with software engineering techniques and developing end to end model pipelines in Python.You are experienced in various machine learning algorithms and predictive solutions.You are effective in communicating technical details to a variety of audiences.Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.At least 2 years’ experience in open source programming languages for large scale data analysis.At least 2 years’ experience with machine learning.At least 2 years’ experience with relational databases.Preferred Qualifications:
PHD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics.At least 1 year of experience working with AWS.At least 4 years’ experience in Python, Scala, or R for large scale data analysis.At least 4 years’ experience with machine learning.At least 4 years’ experience with SQL.Experience with Kubeflow Pipelines.Experience with XGBoost.Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.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.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.com .
#J-18808-Ljbffr