Lead Data Scientist, Personalization & Recommendations

Capital One National Association; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Manager, Data Scientist for Recommendation & Personalization Systems. You will lead a team applying ML to billions of customer interactions to personalize offers across web and mobile apps.

The role emphasizes cross-functional collaboration, scalable ML systems, and building models using Python, AWS, Spark, and related tools. Strong statistical background and data platform experience are required.

Qualifications

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

Responsibilities

• Partner with cross-functional team to deliver a product customers love
• Leverage Python, Conda, AWS, Spark, and related stack to analyze large datasets
• Build ML models through design, training, evaluation, and deployment
• Translate complex work into tangible business goals

Skills

Python

Scala

R

Machine Learning

SQL

AWS

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

AWS

Spark

H2O

Job description

Capital One is seeking a Manager, Data Scientist for Recommendation & Personalization Systems. You will lead a team applying ML to billions of customer interactions to personalize offers across web and mobile apps.

The role emphasizes cross-functional collaboration, scalable ML systems, and building models using Python, AWS, Spark, and related tools. Strong statistical background and data platform experience are required.