Senior Data Scientist — Consumer Credit Risk Modeling

Capital One; McLean (VA); On-site; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Associate Data Scientist to advance Consumer Credit Risk Models and Data. You’ll partner with cross-functional teams to deploy predictive models and leverage a broad tech stack, including Python, Spark, AWS, and SQL, to turn massive data into actionable risk insights.

The role emphasizes machine learning, model validation, and end-to-end deployment, with opportunities to influence loss forecasts, capital allocation, and stress testing in a collaborative,

Qualifications

• Bachelor's Degree in a quantitative field plus 2 years of data analytics experience.
• Master's Degree in a quantitative field or MBA with a quantitative concentration required or preferred.
• Master’s Degree in STEM or PhD in STEM preferred and highly regarded.

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 insights from large data volumes.
• Build machine learning models through all phases: design, training, evaluation, validation, and implementation.
• Translate the complexity of your work into tangible business goals.

Skills

Python

Scala

R

AWS

Spark

SQL

Machine Learning

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field or MBA with a quantitative concentration

Master’s Degree in STEM or PhD in STEM

Tools

H2O

Conda

SAS

Spark

AWS

Job description

Capital One is seeking a Senior Associate Data Scientist to advance Consumer Credit Risk Models and Data. You’ll partner with cross-functional teams to deploy predictive models and leverage a broad tech stack, including Python, Spark, AWS, and SQL, to turn massive data into actionable risk insights.

The role emphasizes machine learning, model validation, and end-to-end deployment, with opportunities to influence loss forecasts, capital allocation, and stress testing in a collaborative,