Senior Data Science Lead, Personal Loans

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

Job summary

Capital One is seeking a Senior Manager of Data Science for the Personal Loan Data team in McLean, VA. You will lead a cross-functional data science effort, shaping modeling strategy and product delivery across acquisition, pricing, and verification using Python, Spark, and AWS.

You will mentor teams, drive open-source tool adoption, and translate complex analyses into business outcomes, delivering models from concept to deployment while collaborating with product managers and software engineers.

Qualifications

• Bachelor's degree in a quantitative field plus 7+ years of analytics experience
• Master's degree in quantitative field or MBA with quantitative concentration plus 5+ years of analytics
• PhD in quantitative field plus 2+ years of analytics
• At least 2 years using open source languages for large-scale data analytics
• At least 2 years of experience in machine learning and relational databases

Responsibilities

• Partner with cross-functional teams to deliver a data science product loved by customers
• Leverage a broad stack (Python, Conda, AWS, H2O, Spark) to extract insights from large datasets
• Build machine learning models through design, training, evaluation, and deployment
• Translate complex technical work into tangible business goals

Skills

Leadership

Cross-functional collaboration

Communication

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

Scala

R

AWS

Spark

H2O

Conda

Job description

Capital One is seeking a Senior Manager of Data Science for the Personal Loan Data team in McLean, VA. You will lead a cross-functional data science effort, shaping modeling strategy and product delivery across acquisition, pricing, and verification using Python, Spark, and AWS.

You will mentor teams, drive open-source tool adoption, and translate complex analyses into business outcomes, delivering models from concept to deployment while collaborating with product managers and software engineers.