Hispanic Technology Executive Council
Manager, Data Science - Marketing and Valuations
Hispanic Technology Executive Council, 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 will 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 a 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 problemsWork closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditionsTranslate business goals into data science solutions and communicate with senior stakeholdersThe 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 solutionsYou are effective in communicating technical details to a variety of audiencesBasic 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 dateAt least 2 years experience in open source programming languages for large scale data analysisAt least 2 years experience with machine learningAt least 2 years experience with relational databasesPreferred Qualifications:
PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years experience in Python, Scala, or R for large scale data analysisAt least 4 years experience with machine learningAt least 4 years experience with SQLExperience with Kubeflow PipelinesExperience with XGBoostCapital 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.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.
#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 will 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 a 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 problemsWork closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditionsTranslate business goals into data science solutions and communicate with senior stakeholdersThe 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 solutionsYou are effective in communicating technical details to a variety of audiencesBasic 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 dateAt least 2 years experience in open source programming languages for large scale data analysisAt least 2 years experience with machine learningAt least 2 years experience with relational databasesPreferred Qualifications:
PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analyticsAt least 1 year of experience working with AWSAt least 4 years experience in Python, Scala, or R for large scale data analysisAt least 4 years experience with machine learningAt least 4 years experience with SQLExperience with Kubeflow PipelinesExperience with XGBoostCapital 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.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.
#J-18808-Ljbffr