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Senior Manager, Data Science – 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 relational database technology in 1988. Today, our passion for data has grown us into 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 that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning to unlock opportunities that help everyday people save money, time and stress 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. Our work powers a wide range of use cases—from marketing to customer service—and has immediate impact across multiple lines of business. We partner with product, tech and design teams to deliver personalized experiences that drive productivity and innovation. We are building a modern, extensible entity‑resolution stack that leverages deep learning, transformer architectures and 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.

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 resolution solution that leverages cutting‑edge machine learning to solve real‑world business problems.
• Leverage a broad stack of technologies—Python, AWS, Spark, modern state‑of‑the‑art models like transformers and graph ML—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.
• Use Agentic AI tools and workflows to build and test solutions efficiently.
• Translate the complexity of your work into tangible business goals, communicating effectively with stakeholders.

The Ideal Candidate is:

• Innovative. You continually research and evaluate emerging technologies, staying current on state‑of‑the‑art methods and seeking opportunities to apply them.
• Creative. You thrive on bringing definition to large, undefined problems, asking questions, and pushing hard to find answers without fear of sharing new ideas.
• Technical. You’re comfortable with open‑source languages and passionate about developing data science solutions using open‑source tools and cloud platforms.
• Statistically‑minded. You have built, validated and back‑tested models, and interpret confusion matrices, ROC curves, clustering, classification, sentiment analysis, time‑series and deep learning.
• A data guru. “Big data” doesn’t faze you—you can retrieve, combine and analyze data from diverse sources and structures, understanding that data insight is key to data science.

Basic Qualifications

• Currently has, or is in the process of obtaining one of the following with the expected degree completed on or before the scheduled start date:
  • A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 7 years of data analytics experience.
  • A Master’s Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of data analytics experience.
  • A PhD in a quantitative field plus 2 years of data analytics experience.
• At least 2 years of experience leveraging open‑source programming languages for large‑scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience utilizing relational databases.

Preferred Qualifications

• PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
• Experience working with AWS.
• At least 5 years’ experience in Python, Scala, or R.
• At least 5 years’ experience with machine learning.
• At least 5 years’ experience with SQL.

Capital One will consider sponsoring a qualified applicant for employment authorization for this position.

Capital One is an equal‑opportunity employer (EOE, including disability/veteran status) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.