Senior Data Scientist, Credit Risk Modeling & Data

National Science Teachers Association; McLean (VA); On-site; USD 135,600 - 154,800; Full time

Job summary

Capital One in McLean, VA seeks a Senior Associate, Data Science - Consumer Credit Risk Models and Data. You will join a team building loss models and deploying pipelines, leveraging Python, Spark, AWS to analyze billions of records and guide capital allocation.

The role emphasizes collaboration with data scientists, engineers, and product managers to deliver scalable solutions and to translate complex analytics into business decisions.

Qualifications

• Bachelor's degree in a quantitative field plus 2 years of data analytics
• Master's degree in a quantitative field or MBA with a quantitative concentration
• 2+ years' experience with Python, Scala, or R
• 2+ years' experience with machine learning
• 2+ years' experience with SQL

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, Spark, and more — to reveal the insights hidden within huge volumes of data
• Optimize and deploy machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Translate the complexity of your work into tangible business goals

Skills

Python

AWS

Scala

R

SQL

Machine Learning

Education

Bachelor's Degree in a quantitative field

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

Tools

Conda

Spark

Job description

Capital One in McLean, VA seeks a Senior Associate, Data Science - Consumer Credit Risk Models and Data. You will join a team building loss models and deploying pipelines, leveraging Python, Spark, AWS to analyze billions of records and guide capital allocation.

The role emphasizes collaboration with data scientists, engineers, and product managers to deliver scalable solutions and to translate complex analytics into business decisions.