Senior Associate, Data Scientist: AI-Driven Risk

Capital One Group; McLean (VA); Hybrid; USD 136,000 - 155,000; Full time

Job summary

Capital One is seeking a Senior Associate, Data Scientist for Beyond AML Modeling & Innovations (BAMI) to advance risk analytics across billions of records. You’ll partner with data scientists, software engineers, and product managers to build models from concept through deployment, using Python, AWS, Spark, and cutting-edge ML techniques.

The role emphasizes innovation, collaboration, and translating complex analyses into actionable business insights within a Fortune 200 data-driven company.

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 quantitative concentration.
• Experience with AWS.
• 2+ years’ experience in 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, 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

Tools

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Senior Associate, Data Scientist for Beyond AML Modeling & Innovations (BAMI) to advance risk analytics across billions of records. You’ll partner with data scientists, software engineers, and product managers to build models from concept through deployment, using Python, AWS, Spark, and cutting-edge ML techniques.

The role emphasizes innovation, collaboration, and translating complex analyses into actionable business insights within a Fortune 200 data-driven company.