Principal Associate, Data Scientist

Team Description

As a Data Scientist at the Retail and Direct Bank, you’ll be part of a high‑performing modeling and analytics team on a mission to define the next generation of banking. The team focuses relentlessly on statistical modeling and innovation, continually improving decision making and delivering value to the business.

This role offers a unique opportunity to be part of a dynamic analytics and modeling team focused on developing behavior models for balance sheet portfolios. You will work with quantitative analysts, data scientists, and business analysts to develop and enhance the deposit modeling framework to support multiple business purposes at Capital One.

• Develop and support econometric time‑series models for the balance sheet
• Identify opportunities to apply quantitative methods to improve business performance
• Demonstrate track record in behavior model development
• Communicate models and methods clearly to management, model risk office, regulators and other modelers
• Develop and maintain high‑quality and transparent documentation

• Customer first. Love the process of analyzing and creating, and share our passion for doing the right thing.
• Innovative. Continually research and evaluate emerging technologies, staying current on state‑of‑the‑art methods and applying them opportunistically.
• Technical. Comfortable with open‑source languages and cloud computing platforms, with hands‑on experience developing data science solutions.
• Statistically‑minded. Built and validated models, able to interpret confusion matrices and ROC curves, with experience in clustering, classification, sentiment analysis, time‑series, and deep learning.

• 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 a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in a STEM field
• At least 1 year of experience working with AWS
• At least 3 years’ experience in Python
• At least 3 years’ experience with machine learning
• At least 3 years’ experience with SQL

McLean, VA: $161,800 - $184,600 for Principal Associate, Data Science.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered will be reflected in the candidate’s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

Capital One is an equal‑opportunity employer (EOE, including disability and veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.