Lead Data Scientist, Emerging ML—Scale & Impact

Capital One; McLean (VA); On-site; USD 161,800 - 184,600; Full time

Job summary

Capital One is seeking a Principal Associate, Data Scientist for Emerging ML in McLean, VA. You will drive end-to-end DS life cycle, building models and partnering with product teams to impact marketing, servicing, and fraud prevention.

You will write robust data-science code (Python, Scala, Spark) to analyze billions of transactions and implement scalable solutions on AWS, influencing business outcomes and customer experiences.

Qualifications

• Bachelor's degree in a quantitative field with 5+ years of data analytics experience.
• Master's or MBA with quantitative concentration plus 3+ years of data analytics experience.
• PhD in a quantitative field, or related field.

Responsibilities

• Build machine learning models through all development phases and deploy in scalable production systems for millions of customers.
• Collaborate with business and product teams across Capital One to run experiments that improve customer experiences and outcomes.
• Write software (Python, Scala, e.g.) to collect, explore, visualize, and analyze large-scale data using Spark and AWS.

Skills

Python

Scala

R

Machine Learning

SQL

Education

Bachelor's Degree in a quantitative field + 5 years

Master's Degree in a quantitative field or MBA with quantitative concentration + 3 years

PhD in a quantitative field

Tools

Spark

AWS

Job description

Capital One is seeking a Principal Associate, Data Scientist for Emerging ML in McLean, VA. You will drive end-to-end DS life cycle, building models and partnering with product teams to impact marketing, servicing, and fraud prevention.

You will write robust data-science code (Python, Scala, Spark) to analyze billions of transactions and implement scalable solutions on AWS, influencing business outcomes and customer experiences.