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Overview
Manager, Data Scientist - Applied AI 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 innovation and our passion for data has helped us grow into a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time and reduce friction in their financial lives.
Team Description
The Commercial Bank Data Science Applied AI team is at the forefront of enabling Generative AI capabilities within the Commercial Bank. We focus on techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning. The ideal candidate will be deeply passionate about Generative AI and have prior experience in AI from a professional or academic background.
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 hidden within 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
The Ideal Candidate is
Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, seeking opportunities to apply them. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. 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.
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 related) plus 6 years of experience performing data analytics A Master\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large-scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases
Preferred Qualifications
At least 2 years experience in AI, Information Retrieval, Deep Learning or NLP PhD in STEM field 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
Compensation and Benefits
Capital One will sponsor a new qualified applicant for employment authorization for this position where allowed by law. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based upon hours worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science. Candidates hired elsewhere will be subject to the pay range for that location and the offer letter will reflect the actual amount. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Learn more at Capital One Careers website. Eligibility varies based on status.
Additional Information
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 qualified applicants with a criminal history in a manner consistent with applicable laws and regulations regarding criminal background inquiries. If you require an 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. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse, or guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada are for Capital One Canada, in the UK for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp.
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Manager, Data Scientist - Applied AI 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 innovation and our passion for data has helped us grow into a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time and reduce friction in their financial lives.
Team Description
The Commercial Bank Data Science Applied AI team is at the forefront of enabling Generative AI capabilities within the Commercial Bank. We focus on techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning. The ideal candidate will be deeply passionate about Generative AI and have prior experience in AI from a professional or academic background.
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 hidden within 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
The Ideal Candidate is
Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods, technologies, and applications, seeking opportunities to apply them. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. 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.
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 related) plus 6 years of experience performing data analytics A Master\'s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large-scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases
Preferred Qualifications
At least 2 years experience in AI, Information Retrieval, Deep Learning or NLP PhD in STEM field 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
Compensation and Benefits
Capital One will sponsor a new qualified applicant for employment authorization for this position where allowed by law. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based upon hours worked. McLean, VA: $193,400 - $220,700 for Mgr, Data Science. Candidates hired elsewhere will be subject to the pay range for that location and the offer letter will reflect the actual amount. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI). Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Learn more at Capital One Careers website. Eligibility varies based on status.
Additional Information
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 qualified applicants with a criminal history in a manner consistent with applicable laws and regulations regarding criminal background inquiries. If you require an 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. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not provide, endorse, or guarantee third-party products or services available through this site. Capital One Financial is made up of several entities. Positions posted in Canada are for Capital One Canada, in the UK for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp.
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