Lead Data Scientist & Team Manager

Capital One National Association; New York, Northern (NY, KY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One National Association is seeking a Manager, Data Scientist for Card Mainstreet in New York, NY. You will lead a cross-functional data team, apply Python, AWS, Spark and ML techniques to billions of records, and translate insights into business decisions that improve customer outcomes.

The ideal candidate blends technical leadership with business acumen, has hands-on experience with open-source tools and cloud platforms, and can mentor others while delivering measurable impact.

Qualifications

• Bachelor's degree in a quantitative field plus 6 years of data analytics experience
• Master's degree in a quantitative field or MBA with quantitative concentration plus 4 years of data analytics
• PhD in a quantitative field plus 1 year of data analytics experience
• At least 1 year of experience with open source programming languages for large scale data analysis
• At least 1 year of experience working with machine learning
• At least 1 year of experience utilizing relational databases

Responsibilities

• Partner with cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies to reveal insights in huge data
• Build machine learning models through all phases of development
• Translate complex work into tangible business goals

Skills

Python

AWS

SQL

Spark

Machine Learning

Open Source

Big Data

Education

Bachelor's degree in a quantitative field

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

PhD in a quantitative field

Tools

Python

Conda

AWS

H2O

Job description

Capital One National Association is seeking a Manager, Data Scientist for Card Mainstreet in New York, NY. You will lead a cross-functional data team, apply Python, AWS, Spark and ML techniques to billions of records, and translate insights into business decisions that improve customer outcomes.

The ideal candidate blends technical leadership with business acumen, has hands-on experience with open-source tools and cloud platforms, and can mentor others while delivering measurable impact.