Director of Data Science & AI Innovation

Capital One; McLean, Northern (VA, KY); Hybrid; USD 269,000 - 307,000; Full time

Job summary

Capital One is seeking a Data Scientist to join a data-driven team that processes billions of customer records and enables personalized offers. You will work with a cross-functional group of data scientists, software engineers, and product managers to develop models and deploy them in production.

The role emphasizes open-source languages, cloud computing (AWS), and a strong focus on data-driven decision making. A proven track record with ML, A/B testing, and scalable analytics is required.

Qualifications

• Currently has, or is in the process of obtaining one of the listed degrees with expected completion by start date
• At least 4 years of experience with open source languages for large-scale data analysis
• At least 4 years of experience building/deploying AI/ML models in production
• At least 4 years of experience designing and analyzing A/B tests

Responsibilities

• Partner with cross-functional team to deliver a product customers love
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large data
• Build ML models from design through training, evaluation, validation and deployment
• Translate complex work into tangible business goals

Skills

Python

Open-source

AWS

Spark

Data analysis

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

Spark

Job description

Capital One is seeking a Data Scientist to join a data-driven team that processes billions of customer records and enables personalized offers. You will work with a cross-functional group of data scientists, software engineers, and product managers to develop models and deploy them in production.

The role emphasizes open-source languages, cloud computing (AWS), and a strong focus on data-driven decision making. A proven track record with ML, A/B testing, and scalable analytics is required.