Lead Data Scientist, Emerging ML & AI Research

Capital One National Association; New York (NY); On-site; USD 176,500 - 201,400; Full time

Job summary

Capital One's Emerging ML team is seeking a Principal Associate, Data Scientist to advance AI-driven initiatives across billions of records. You will develop models from concept to production, partner with product teams to test experiments and deploy scalable solutions using Spark and cloud platforms.

The role emphasizes statistical rigor, curiosity, and communication of results to non-technical audiences, with opportunities to influence marketing, servicing and fraud prevention domains.

Qualifications

• Bachelor's Degree in a quantitative field plus 5 years of analytics experience.
• Master's Degree in a quantitative field (Statistics, Economics, OR Analytics) or MBA with a quantitative concentration plus 3 years analytics experience.
• PhD in a quantitative field (Statistics, Economics, OR Analytics)

Responsibilities

• Build machine learning models through all phases of development and deploy them in production systems serving 50+ million customers.
• Collaborate with business and product teams to run experiments improving customer experiences and business outcomes.
• Write software (Python, Scala) to collect, explore, visualize and analyze large-scale data using Spark and AWS.

Skills

Python

Scala

R

SQL

Machine learning

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

Spark

AWS

Job description

Capital One's Emerging ML team is seeking a Principal Associate, Data Scientist to advance AI-driven initiatives across billions of records. You will develop models from concept to production, partner with product teams to test experiments and deploy scalable solutions using Spark and cloud platforms.

The role emphasizes statistical rigor, curiosity, and communication of results to non-technical audiences, with opportunities to influence marketing, servicing and fraud prevention domains.