Senior Data Scientist - Bureau Data & ML

Capital One; McLean (VA); On-site; USD 135,600 - 154,800; Full time

Job summary

Capital One is seeking a Data Scientist to join the Bureau Data Strategy team and leverage Python, Spark, AWS, and H2O to build models across billions of records. You will collaborate with data scientists, software engineers, and product managers to deliver data-driven products for underwriting decisions.

The role emphasizes end-to-end ML development, from design to deployment, and translating complex analytics into actionable business outcomes for Capital One's customers.

Qualifications

• Bachelor's degree in a quantitative field plus 2 years of data analytics experience or
• Master's degree in a quantitative field or MBA with a quantitative concentration
• 2+ years of experience with PySpark for large scale data analysis
• 2+ years of experience with Python, Scala, or R
• 2+ years of experience with machine learning and 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 insights from large data
• Build machine learning models through all phases of development from design through training, evaluation, validation, and implementation
• Translate the complexity of work into tangible business goals

Skills

Python

SQL

Spark

R

Scala

Education

Bachelor's degree in quantitative field

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

Tools

PySpark

Conda

AWS

H2O

Spark

Job description

Capital One is seeking a Data Scientist to join the Bureau Data Strategy team and leverage Python, Spark, AWS, and H2O to build models across billions of records. You will collaborate with data scientists, software engineers, and product managers to deliver data-driven products for underwriting decisions.

The role emphasizes end-to-end ML development, from design to deployment, and translating complex analytics into actionable business outcomes for Capital One's customers.