Hispanic Technology Executive Council
Manager, Data Scientist - Applied AI
Hispanic Technology Executive Council, Mc Lean, Virginia, us, 22107
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 contributed to Capital One becoming a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you will be part of a team leading the next wave of disruption at a 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 effort in their financial lives. Team Description
The Commercial Bank Data Science Applied AI team enables 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 AI experience 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 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. You stay current on state-of-the-art methods, technologies, and applications and seek opportunities to apply them. A leader. You challenge conventional thinking and work with stakeholders to improve the status quo. You are passionate about talent development for your own team and beyond. Technical. You are 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 have 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. Qualifications
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 6 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 4 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) 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 of experience in AI, Information Retrieval, Deep Learning or NLP 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 of experience in Python, Scala, or R for large-scale data analysis At least 4 years of experience with machine learning At least 4 years of experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation and Benefits
The minimum and maximum full-time annual salaries for this role are listed below, by location. This information is for candidates hired to work within one of these locations and reflects the amount Capital One is willing to pay at the time of posting. Part-time salaries will be prorated. McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location. The actual salary offered will be reflected in the offer letter. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses 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. 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. 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 and will consider qualified applicants with criminal histories in accordance with applicable laws. If you require accommodation during the application process, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not warrant third-party products, services, or information available through this site. Capital One Financial is comprised of multiple entities; positions posted in Canada, the UK, or the Philippines are for respective Capital One entities.
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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 contributed to Capital One becoming a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you will be part of a team leading the next wave of disruption at a 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 effort in their financial lives. Team Description
The Commercial Bank Data Science Applied AI team enables 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 AI experience 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 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. You stay current on state-of-the-art methods, technologies, and applications and seek opportunities to apply them. A leader. You challenge conventional thinking and work with stakeholders to improve the status quo. You are passionate about talent development for your own team and beyond. Technical. You are 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 have 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. Qualifications
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 6 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 4 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) 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 of experience in AI, Information Retrieval, Deep Learning or NLP 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 of experience in Python, Scala, or R for large-scale data analysis At least 4 years of experience with machine learning At least 4 years of experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation and Benefits
The minimum and maximum full-time annual salaries for this role are listed below, by location. This information is for candidates hired to work within one of these locations and reflects the amount Capital One is willing to pay at the time of posting. Part-time salaries will be prorated. McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location. The actual salary offered will be reflected in the offer letter. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses 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. 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. 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 and will consider qualified applicants with criminal histories in accordance with applicable laws. If you require accommodation during the application process, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not warrant third-party products, services, or information available through this site. Capital One Financial is comprised of multiple entities; positions posted in Canada, the UK, or the Philippines are for respective Capital One entities.
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