Principal Data Scientist, Upmarket Card Analytics

Information Technology Senior Management Forum; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One in McLean, VA seeks a Principal Associate, Data Science for US Card (Upmarket Segments). You will partner with data scientists, software engineers, and product managers to deliver data-driven credit card offers using statistical modeling on billions of records.

You will apply Python, AWS, Spark, and ML techniques to build models across development stages and translate findings into business impact. The role features a competitive salary and incentive opportunities.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience.
• Master's degree in a quantitative field or MBA with quantitative concentration plus 3 years of data analytics experience.
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related).

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 to implementation.
• Translate complex work into tangible business goals.

Skills

Python

Scala

R

Machine learning

SQL

Education

Bachelor's degree in quantitative field

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

PhD in quantitative field

Tools

AWS

Spark

H2O

Conda

Job description

Capital One in McLean, VA seeks a Principal Associate, Data Science for US Card (Upmarket Segments). You will partner with data scientists, software engineers, and product managers to deliver data-driven credit card offers using statistical modeling on billions of records.

You will apply Python, AWS, Spark, and ML techniques to build models across development stages and translate findings into business impact. The role features a competitive salary and incentive opportunities.