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Principal Data Scientist - AI Foundations, Specialist Models

Capital One

Virginia, Minnesota, United States

Virginia, Minnesota, United States

Über

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 through 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, members apply the latest research and methodologies to real‑world problems and deliver solutions at scale for our 100M+ customers. Responsibilities Partner with a cross‑functional team of data scientists, software engineers, and product managers to build a next‑generation entity resolution solution that leverages cutting‑edge machine learning approaches to solve real‑world business problems. Leverage a broad stack of technologies – Python, AWS, Spark, modern state‑of‑the‑art models such as transformers, graph ML, and more – to reveal insights hidden within huge volumes of numeric and textual data. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Leverage Agentic AI tools and workflows to build and test. Translate the complexity of your work into tangible business goals with strong interpersonal skills. The Ideal Candidate Innovative. You continually research and evaluate emerging technologies, stay current on state‑of‑the‑art methods, and seek opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems, love asking questions and pushing hard to find answers without fear of sharing new ideas. Technical. Comfortable with open‑source languages, passionate about development, and hands‑on experience creating data science solutions with open‑source tools and cloud computing platforms. Statistically‑minded. Built models, validated them, and back‑tested. Able to interpret confusion matrices, ROC curves, and have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn’t faze you; skilled at retrieving, combining, and analyzing data from diverse sources and structures with understanding the data as key to great science. Basic Qualifications Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience. Master’s Degree in a quantitative field or an MBA with quantitative concentration plus 3 years of data analytics experience. PhD in a quantitative field plus experience performing data analytics. Preferred Qualifications Master’s or PhD in a “STEM” field (Science, Technology, Engineering, 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. Benefits and Compensation Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being. Compensation ranges by location with potential for performance‑based incentive compensation, including cash bonuses and long‑term incentives. Equal Opportunity Employer Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
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Virginia, Minnesota, United States

Sprachkenntnisse

English

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