Senior Data Science Leader - ML, Big Data & Impact

Capital One; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Job summary

Capital One in McLean, VA seeks a Senior Manager, Data Science for US Card (Upmarket Segments). You will lead a cross-functional data science team, partner with engineers, product managers, and analysts to deploy scalable models that power personalized credit card offers.

The role emphasizes building ML solutions across the lifecycle, leveraging Python, Spark, AWS, and open-source tools, communicating complex results to stakeholders, and driving business impact.

Qualifications

• Bachelor's degree in a quantitative field plus 7 years of data analytics experience.
• Master's degree in a quantitative field or MBA with a quantitative concentration plus 5 years of data analytics experience.
• PhD in a quantitative field plus 2 years of data analytics experience.
• At least 2 years of experience leveraging open source programming languages for large scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience utilizing relational databases.

Responsibilities

• Partner with cross-functional teams to deliver a product customers love.
• Leverage a broad stack of technologies — Python, Conda, AWS, 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

Relational databases

Big data

Education

Bachelor's degree (quantitative field)

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

PhD in quantitative field

Tools

AWS

Spark

Conda

H2O

Job description

Capital One in McLean, VA seeks a Senior Manager, Data Science for US Card (Upmarket Segments). You will lead a cross-functional data science team, partner with engineers, product managers, and analysts to deploy scalable models that power personalized credit card offers.

The role emphasizes building ML solutions across the lifecycle, leveraging Python, Spark, AWS, and open-source tools, communicating complex results to stakeholders, and driving business impact.