Capital One
Financial Services
PrincipalDataScientist-AIFoundations,SpecialistModels
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Data Scientist - AI Foundations, Specialist Models at Capital One. Skills: machine learning, entity resolution, deep learning, transformer architectures, graph approaches, Python, AWS, Spark. Build and ship state of the art machine learning solutions to support entity resolution within the enterprise. Experiment, innovate and create next generation experiences powered by the latest emerging ML technologies”
What You'll Achieve.
Unlock the big opportunities that help everyday people save money, time and agony in their financial lives; Drive productivity and innovation
Industry & Context.
Bring definition to big, undefined problems; Love asking questions and pushing hard to find answers
What They're Looking For.
Must Have
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, 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, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice to Have
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), Experience working with AWS, At least 3 years’ experience in Python, Scala, or R, At least 3 years’ experience with machine learning, At least 3 years’ experience with SQL
What You'll Do.
Build and ship state of the art machine learning solutions to support entity resolution within the enterprise
innovate and create next generation experiences powered by the latest emerging ML technologies
Build a next-generation entity resolution solution that leverages cutting-edge machine learning approaches
Leverage a broad stack of technologies to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development
from design through training
Leverage Agentic AI tools and workflows to build and test
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of data scientists, software engineers, and product managers; Partner with product, tech and design teams to deliver personalized experiences
Communication Scope
Translate the complexity of your work into tangible business goals
Full Job Description
Principal Data Scientist - AI Foundations, Specialist Models 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 Description** The Entity Resolution Systems team builds and ships state of the art machine learning solutions to support entity resolution within the enterprise. A core capability that powers a wide range of use cases spanning from marketing to customer servicing, our work has immediate impact across multiple lines of business. We partner with product, tech and design teams to deliver personalized experiences to our data and platform users to drive productivity and innovation. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging ML technologies and turbo-charged thru agentic software development practices. We are building a modern, extensible entity resolution stack that leverages the latest developments in deep learning and transformer architectures, graph approaches. On this team, team members apply the latest research and methodologies to real-world problems and deliver solutions at scale for our 100M+ customers. **In this role, you will:** * Partner with a cross-functional team of data scientists, software engineers, and product managers to build a next-generation entity
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