Capital One
Principal Data Scientist, AI Foundations
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personally tailoring each credit card offer using statistical modeling and relational databases. In 1988 we pioneered this approach, and since then our passion for data has propelled us to 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 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 frustration in their financial lives.
Team Description AI Foundations Specialist Models Data Science builds and ships state‑of‑the‑art scalable architecture, AI/ML solutions for Capital One’s award‑winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Digital Assistant Eno, or search for useful content. You will be the driving force to experiment, innovate and create next‑generation experiences powered by the latest emerging generative AI technologies.
In this role, you will
Partner with a cross‑functional team of data scientists, software engineers, ML engineers and product managers to deliver AI‑powered products that change how customers interact with their money.
Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more—to reveal insights hidden within huge volumes of numeric and textual data.
Be the NLP expert to harness the power of Large Language Models, adapt and fine‑tune them for customer‑facing applications and features.
Build ML and NLP models through all phases of development—from design through training, evaluation and validation; partnering with engineering teams to operationalize them in scalable, resilient production systems that serve 80+ million customers.
Translate the complexity of your work into tangible business goals, using strong interpersonal skills.
The Ideal Candidate is
Customer‑first mindset and a passion for making the right decision for our customers.
Innovative; continually researching and evaluating emerging technologies and staying current on state‑of‑the‑art methods.
Creative; thrives on bringing definition to big, undefined problems and proactively shares new ideas.
A leader; challenges conventional thinking, works with stakeholders to improve the status quo, and cares about talent development for their team and beyond.
Technical; comfortable with advanced ML/DL technologies, passionate about further development, and hands‑on experience with LLMs, open‑source tools and cloud platforms.
Influential; can rally cross‑functional teams for breakthrough innovations and communicates findings clearly to non‑technical audiences.
Experienced in training language models or large computer‑vision models and knowledgeable in areas such as training optimization, self‑supervised learning, explainability, or RLHF.
Engineering mindset with a track record of delivering models at scale in both training and inference, and experience delivering libraries, platforms or solution‑level code to existing products.
Basic Qualifications
Currently has or is in the process of obtaining one of the following with an expectation of obtaining the required degree 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 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 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 field).
Preferred Qualifications
Master’s or PhD in a STEM field.
Experience working with AWS.
At least 3 years of experience in Python, Scala or R.
At least 3 years of experience with machine learning.
At least 3 years of experience with SQL.
Capital One will consider sponsoring a qualified applicant for employment authorization.
The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salary information is for candidates hired to perform work within a specified location and will be reflected in the offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies based on status and level.
Capital One is an equal‑opportunity employer (EOE, including disability/vet) and will consider qualified applicants with criminal history in a manner consistent with applicable laws regarding background inquiries.
If you have visited our website in search of employment information 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.
For technical support or questions about Capital One’s recruiting process, please email Careers@capitalone.com.
Capital 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 entities. Positions posted in Canada are for Capital One Canada, in the United Kingdom are for Capital One Europe, and in the Philippines are for Capital One Philippines Service Corp. (COPSSC).
#J-18808-Ljbffr
As a Data Scientist at Capital One, you’ll be part of a team 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 frustration in their financial lives.
Team Description AI Foundations Specialist Models Data Science builds and ships state‑of‑the‑art scalable architecture, AI/ML solutions for Capital One’s award‑winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Digital Assistant Eno, or search for useful content. You will be the driving force to experiment, innovate and create next‑generation experiences powered by the latest emerging generative AI technologies.
In this role, you will
Partner with a cross‑functional team of data scientists, software engineers, ML engineers and product managers to deliver AI‑powered products that change how customers interact with their money.
Leverage a broad stack of technologies—Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more—to reveal insights hidden within huge volumes of numeric and textual data.
Be the NLP expert to harness the power of Large Language Models, adapt and fine‑tune them for customer‑facing applications and features.
Build ML and NLP models through all phases of development—from design through training, evaluation and validation; partnering with engineering teams to operationalize them in scalable, resilient production systems that serve 80+ million customers.
Translate the complexity of your work into tangible business goals, using strong interpersonal skills.
The Ideal Candidate is
Customer‑first mindset and a passion for making the right decision for our customers.
Innovative; continually researching and evaluating emerging technologies and staying current on state‑of‑the‑art methods.
Creative; thrives on bringing definition to big, undefined problems and proactively shares new ideas.
A leader; challenges conventional thinking, works with stakeholders to improve the status quo, and cares about talent development for their team and beyond.
Technical; comfortable with advanced ML/DL technologies, passionate about further development, and hands‑on experience with LLMs, open‑source tools and cloud platforms.
Influential; can rally cross‑functional teams for breakthrough innovations and communicates findings clearly to non‑technical audiences.
Experienced in training language models or large computer‑vision models and knowledgeable in areas such as training optimization, self‑supervised learning, explainability, or RLHF.
Engineering mindset with a track record of delivering models at scale in both training and inference, and experience delivering libraries, platforms or solution‑level code to existing products.
Basic Qualifications
Currently has or is in the process of obtaining one of the following with an expectation of obtaining the required degree 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 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 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 field).
Preferred Qualifications
Master’s or PhD in a STEM field.
Experience working with AWS.
At least 3 years of experience in Python, Scala or R.
At least 3 years of experience with machine learning.
At least 3 years of experience with SQL.
Capital One will consider sponsoring a qualified applicant for employment authorization.
The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salary information is for candidates hired to perform work within a specified location and will be reflected in the offer letter.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies based on status and level.
Capital One is an equal‑opportunity employer (EOE, including disability/vet) and will consider qualified applicants with criminal history in a manner consistent with applicable laws regarding background inquiries.
If you have visited our website in search of employment information 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.
For technical support or questions about Capital One’s recruiting process, please email Careers@capitalone.com.
Capital 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 entities. Positions posted in Canada are for Capital One Canada, in the United Kingdom are for Capital One Europe, and in the Philippines are for Capital One Philippines Service Corp. (COPSSC).
#J-18808-Ljbffr