Capital One National Association
Principal Associate, Data Scientist - People Tech Innovation Hub
Capital One National Association, Mc Lean, Virginia, us, 22107
Overview
Principal Associate, Data Scientist - People Tech Innovation Hub Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally personalizing offers using statistical modeling and the relational database, evolving into a Fortune 200 company focused on data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of disruption at a new scale, using modern computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description A Call to Innovators! Capital One\'s People Technology Innovation Lab is hiring a Data Scientist to translate raw data into game-changing insights and products. We don\'t just use data; we make it a strategic asset. You’ll tackle complex, high-impact problems using technologies like Generative AI and Knowledge Graphs to transform the employee experience. You\'ll move beyond incremental improvements and help deliver disruptive, innovative use cases that shape how Capital One works and evolves. If you thrive on technical challenges, product ownership, and leveraging a diverse tech stack to reveal insights in massive datasets, join us as a core driver of innovation culture. Role Description
In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from large volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals through strong interpersonal skills The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, applying them where appropriate. Creative. You thrive on solving big, undefined problems and are not afraid to share new ideas. Statistically-minded. You\'ve built and validated models, interpreted evaluation metrics, and have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often the key to great data science. Basic Qualifications:
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
Master\’s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field At least 1 year of experience working with AWS At least 3 years’ experience in Python, Scala At least 3 years’ experience with machine learning At least 3 years’ experience with SQL At least 1 year of experience working on RAG (retrieval augmented generation) based AI workflows, evaluating the output of GenAI models Experience working with vector databases to index text using chunking and embedding models Capital 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. Salaries are provided for candidates hired to work within these locations and may be reflected in the offer letter. Salaries for part-time roles will be prorated based on hours. Locations and ranges: Plano, TX: $144,200 - $164,600 McLean, VA: $158,600 - $181,000 Richmond, VA: $144,200 - $164,600 Riverwoods, IL: $144,200 - $164,600 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary offered will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws and regulations. If you require accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed reasonable accommodations. Careers inquiries: for technical support or questions about Capital One\'s recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines correspond to the respective Capital One entity.
#J-18808-Ljbffr
Principal Associate, Data Scientist - People Tech Innovation Hub Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally personalizing offers using statistical modeling and the relational database, evolving into a Fortune 200 company focused on data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of disruption at a new scale, using modern computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description A Call to Innovators! Capital One\'s People Technology Innovation Lab is hiring a Data Scientist to translate raw data into game-changing insights and products. We don\'t just use data; we make it a strategic asset. You’ll tackle complex, high-impact problems using technologies like Generative AI and Knowledge Graphs to transform the employee experience. You\'ll move beyond incremental improvements and help deliver disruptive, innovative use cases that shape how Capital One works and evolves. If you thrive on technical challenges, product ownership, and leveraging a diverse tech stack to reveal insights in massive datasets, join us as a core driver of innovation culture. Role Description
In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from large volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Translate the complexity of your work into tangible business goals through strong interpersonal skills The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, applying them where appropriate. Creative. You thrive on solving big, undefined problems and are not afraid to share new ideas. Statistically-minded. You\'ve built and validated models, interpreted evaluation metrics, and have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. You can retrieve, combine, and analyze data from diverse sources and structures; understanding the data is often the key to great data science. Basic Qualifications:
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
Master\’s Degree in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field At least 1 year of experience working with AWS At least 3 years’ experience in Python, Scala At least 3 years’ experience with machine learning At least 3 years’ experience with SQL At least 1 year of experience working on RAG (retrieval augmented generation) based AI workflows, evaluating the output of GenAI models Experience working with vector databases to index text using chunking and embedding models Capital 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. Salaries are provided for candidates hired to work within these locations and may be reflected in the offer letter. Salaries for part-time roles will be prorated based on hours. Locations and ranges: Plano, TX: $144,200 - $164,600 McLean, VA: $158,600 - $181,000 Richmond, VA: $144,200 - $164,600 Riverwoods, IL: $144,200 - $164,600 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary offered will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses or long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws and regulations. If you require accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed reasonable accommodations. Careers inquiries: for technical support or questions about Capital One\'s recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada, the United Kingdom, or the Philippines correspond to the respective Capital One entity.
#J-18808-Ljbffr