Principal Data Scientist — Card Analytics

Capital One; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One in McLean, Virginia, seeks a Principal Associate, Data Science for US Card Upmarket Segments. The role focuses on delivering data-driven decisions, building scalable ML models, and translating insights into customer value.

You’ll work with engineers, product managers, and data scientists across platforms to influence a broad business impact. Ideal candidates combine strong statistics, ML experience, and fluency with Python, SQL, and AWS.

Qualifications

• Bachelor's or higher in a quantitative field and several years of analytics experience.
• Advanced knowledge of statistical methods, ML concepts, and data wrangling.
• Experience with Python, SQL, and AWS is preferred.

Responsibilities

• Partner with data scientists, engineers, and product managers to deliver a product customers love.
• Leverage Python, AWS, Spark, and related tools to extract insights from large data sets.
• Build ML models through design, training, evaluation, validation, and deployment.
• Translate complex analyses into measurable business outcomes for stakeholders.

Skills

Python

SQL

Machine learning

AWS

Big data

Education

Bachelor's degree in statistics/economics/CS or related + 5 years analytics

Master's degree in quantitative field or MBA with quantitative concentration + 3 years analytics

PhD in quantitative field + 3 years analytics

Job description

Capital One in McLean, Virginia, seeks a Principal Associate, Data Science for US Card Upmarket Segments. The role focuses on delivering data-driven decisions, building scalable ML models, and translating insights into customer value.

You’ll work with engineers, product managers, and data scientists across platforms to influence a broad business impact. Ideal candidates combine strong statistics, ML experience, and fluency with Python, SQL, and AWS.