Head of Data Science & AI Strategy (Remote)

Capital One; Salt Lake City (UT); Remote; USD 245,000 - 279,000; Full time

Benefits offered by this job

Remote work option

Sponsorship for employment

Job summary

Capital One is seeking a Director of Data Science for Consumer and Developer Experience. This remote-eligible role leads a team leveraging Python, AWS, Spark, and open-source tools to deliver data-driven products across billions of records, partnering with engineers and PMs to translate insights into customer value.

The ideal candidate has advanced degrees, extensive experience in ML, A/B testing, and production model deployment, with a track record of leadership and talent development.

Qualifications

• Advanced degree in a quantitative field or MBA with quantitative focus
• Experience building data science solutions at scale
• Proven track record deploying ML models to production
• Experience with open-source programming languages for large-scale data analysis
• Experience designing and analyzing A/B tests

Responsibilities

• Partner with cross-functional teams to deliver data products loved by customers
• Leverage Python, AWS, Spark to extract insights from large datasets
• Build and deploy ML models through design, training, evaluation, and implementation
• Translate complex analytics into tangible business goals

Skills

Python

AWS

Spark

Open-source tools

Machine Learning

Data analysis

A/B testing

Cloud computing

Leadership

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

Conda

H2O

Job description

Capital One is seeking a Director of Data Science for Consumer and Developer Experience. This remote-eligible role leads a team leveraging Python, AWS, Spark, and open-source tools to deliver data-driven products across billions of records, partnering with engineers and PMs to translate insights into customer value.

The ideal candidate has advanced degrees, extensive experience in ML, A/B testing, and production model deployment, with a track record of leadership and talent development.