Data Science Lead for US Card Customer Management

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One’s US Card data science team seeks a Data Scientist to drive data-driven decisions across billions of records. You will partner with engineers, product managers and analysts to build predictive models and real-time solutions that directly impact customer outcomes.

You’ll work with open-source tools, cloud platforms, and cutting-edge ML techniques to solve complex problems, delivering measurable business value and customer benefits.

Qualifications

• Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics.
• Master's Degree in a quantitative field or MBA with quantitative concentration plus 4 years of experience performing data analytics.
• PhD in a quantitative field plus 1 year of experience performing data analytics.

Responsibilities

• Partner with cross-functional teams to deliver a product customers love.
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large data sets.
• Build machine learning models from design through training, evaluation, and implementation.
• Translate complex work into tangible business goals.

Skills

Python

SQL

Machine learning

Relational databases

Education

Bachelor's Degree in quantitative field

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

PhD in quantitative field

Tools

AWS

H2O

Spark

Job description

Capital One’s US Card data science team seeks a Data Scientist to drive data-driven decisions across billions of records. You will partner with engineers, product managers and analysts to build predictive models and real-time solutions that directly impact customer outcomes.

You’ll work with open-source tools, cloud platforms, and cutting-edge ML techniques to solve complex problems, delivering measurable business value and customer benefits.