Jobs in McLean, VA

About the role

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. 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.

What you'll bring

• 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 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 quantitative 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 quantitative field)
• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or 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
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• The 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.

Locations