Principal Associate, Data Scientist, Generative AI Systems (Genesis) at Capital One
McLean, VA 22106
About the Job
11 West 19th Street (22008), United States of America, New York, New YorkPrincipal Associate, Data Scientist, Generative AI Systems (Genesis)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 DescriptionThe Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, and image processing. We partner with product, tech, and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience
You will work with a seasoned group of Natural Language Processing (NLP), Speech, and Computer Vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences. Role DescriptionIn this role, you will:Develop applications powered by Large Language Models across multiple modalities (text, speech, and vision).Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — PyTorch, Hugging Face, Spark, LangChain and more — to reveal the insights hidden within huge volumes of both structured and unstructured dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationContribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) Flex your interpersonal skills to translate the complexity of your work into tangible business goalsThe Ideal Candidate is:Customer first
You love the process of analyzing and creating, but also share our passion to do the right thing
You know at the end of the day it’s about making the right decision for our customers.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.A data guru
“Big data” doesn’t faze you
You have the skills to retrieve, combine, and analyze data from a variety of sources and structures
You know understanding the data is often the key to great data science.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 1 year of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of experience with relational databasesPreferred Qualifications:Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM”or STEM-adjacent field (Science, Technology, Engineering, or Mathematics)At least 1 year of experience working with AWSAt least 3 years’ experience in Python, Scala, or RAt least 3 years’ experience with machine learningAt least 3 years’ experience with SQLThe minimum and maximum full-time annual salaries for this role are listed below, by location
Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting
Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked
New York City (Hybrid On-Site): $165,100 - $188,500 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Incentives could be discretionary or non discretionary depending on the plan.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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations 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
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
Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp
(COPSSC).SummaryLocation: New York, NY; McLean, VAType: Full time
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 DescriptionThe Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, and image processing. We partner with product, tech, and design teams to deliver internal applications based on these solutions that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience
You will work with a seasoned group of Natural Language Processing (NLP), Speech, and Computer Vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI conferences. Role DescriptionIn this role, you will:Develop applications powered by Large Language Models across multiple modalities (text, speech, and vision).Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers loveLeverage a broad stack of technologies — PyTorch, Hugging Face, Spark, LangChain and more — to reveal the insights hidden within huge volumes of both structured and unstructured dataBuild machine learning models through all phases of development, from design through training, evaluation, validation, and implementationContribute research to top-tier NLP conferences such as Association for Computational Linguistics (ACL) and Empirical Methods in Natural Language Processing (EMNLP) Flex your interpersonal skills to translate the complexity of your work into tangible business goalsThe Ideal Candidate is:Customer first
You love the process of analyzing and creating, but also share our passion to do the right thing
You know at the end of the day it’s about making the right decision for our customers.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.A data guru
“Big data” doesn’t faze you
You have the skills to retrieve, combine, and analyze data from a variety of sources and structures
You know understanding the data is often the key to great data science.Basic Qualifications:Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start dateAt least 1 year of experience in open source programming languages for large scale data analysisAt least 1 year of experience with machine learningAt least 1 year of experience with relational databasesPreferred Qualifications:Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM”or STEM-adjacent field (Science, Technology, Engineering, or Mathematics)At least 1 year of experience working with AWSAt least 3 years’ experience in Python, Scala, or RAt least 3 years’ experience with machine learningAt least 3 years’ experience with SQLThe minimum and maximum full-time annual salaries for this role are listed below, by location
Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting
Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked
New York City (Hybrid On-Site): $165,100 - $188,500 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Incentives could be discretionary or non discretionary depending on the plan.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, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations 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.comCapital
One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entitiesPlease note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp
(COPSSC).SummaryLocation: New York, NY; McLean, VAType: Full time
