Principal Data Scientist, Card Intelligence

Capital One; New York (NY); On-site; USD 177,000 - 201,000; Full time

Job summary

Capital One is seeking a Data Scientist to join the US Card Data Science organization. You will build and deploy machine learning models across the credit card lifecycle, partnering with engineers and product managers to translate insights into business impact.

The role emphasizes open-source tools and cloud computing, including Python, Spark, AWS, and H2O, with opportunities to influence marketing, underwriting, fraud prevention, and customer experiences across billions of records.

Qualifications

• Bachelor's degree in a quantitative field with 5+ years of data analytics experience.
• Master's degree in a quantitative field or MBA with quantitative concentration plus 3+ years of analytics experience; or PhD in a quantitative field.
• PhD in a quantitative field is also acceptable for higher-level roles.

Responsibilities

• Partner with a cross-functional team to deliver data science products.
• Leverage Python, Conda, AWS, H2O, Spark to analyze large datasets and reveal insights.
• Build ML models through design, training, evaluation, validation, and deployment.
• Translate complex analyses into tangible business goals.

Skills

Python

Scala

R

Machine Learning

SQL

AWS

Spark

H2O

Conda

Education

Bachelor's in quantitative field

Master's in quantitative field or MBA with quantitative concentration

PhD in quantitative field

Tools

Spark

H2O

Conda

Job description

Capital One is seeking a Data Scientist to join the US Card Data Science organization. You will build and deploy machine learning models across the credit card lifecycle, partnering with engineers and product managers to translate insights into business impact.

The role emphasizes open-source tools and cloud computing, including Python, Spark, AWS, and H2O, with opportunities to influence marketing, underwriting, fraud prevention, and customer experiences across billions of records.