Principal Data Scientist, Card & Payments Analytics

Capital One Group; New York, Northern (NY, KY); Hybrid; USD 177,000 - 201,000; Full time

Job summary

Capital One’s Business Card & Payments Data Science team builds industry-leading machine learning models to support credit underwriting decisions and drives card product strategies across the customer lifecycle. This role partners with business stakeholders, product, and software/ML engineering to solve problems and shape long-term modeling strategy.

The Principal Associate, Data Scientist in New York collaborates to translate complex data insights into measurable business impact, leveraging

Qualifications

• Bachelor’s degree in a quantitative field plus 5 years of experience performing data analytics
• Master’s degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
• PhD in a quantitative field

Responsibilities

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the 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
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Skills

Python

Scala

R

Machine learning

SQL

AWS

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Spark

H2O

Conda

AWS

Job description

Capital One’s Business Card & Payments Data Science team builds industry-leading machine learning models to support credit underwriting decisions and drives card product strategies across the customer lifecycle. This role partners with business stakeholders, product, and software/ML engineering to solve problems and shape long-term modeling strategy.

The Principal Associate, Data Scientist in New York collaborates to translate complex data insights into measurable business impact, leveraging