Principal Data Scientist: ML & Big Data Impact

Capital One; Richmond (VA); On-site; USD 147,000 - 168,000; Full time

Job summary

Capital One is seeking a Data Scientist to join a fast-growing team that handles billions of customer records using modern computing and machine learning technologies. You will partner with data scientists, software engineers, and product managers to deliver data-driven products that customers love.

You will build models end-to-end across design, training, evaluation, and deployment. The ideal candidate brings hands-on ML experience, proficiency in Python/SQL, and comfort with AWS and

Qualifications

• Bachelor's degree in a quantitative field plus 5 years of experience performing data analytics
• Master's degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience performing data analytics
• PhD in a quantitative field
• Master's Degree in STEM field plus 3 years of data analytics experience or PhD in STEM field
• At least 1 year of experience working with AWS
• At least 3 years’ experience in Python, Scala, or R
• At least 3 years’ experience with machine learning
• At least 3 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 insights from large data sets
• Build machine learning models through all phases of development from design to implementation
• Translate the complexity of your work into tangible business goals

Skills

Python

SQL

Machine Learning

Cloud Computing

Education

Bachelor's Degree in a quantitative field

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

PhD in a quantitative field

Tools

Python

R

Scala

SQL

AWS

H2O

Spark

Job description

Capital One is seeking a Data Scientist to join a fast-growing team that handles billions of customer records using modern computing and machine learning technologies. You will partner with data scientists, software engineers, and product managers to deliver data-driven products that customers love.

You will build models end-to-end across design, training, evaluation, and deployment. The ideal candidate brings hands-on ML experience, proficiency in Python/SQL, and comfort with AWS and