Remote Director, Data Science & AI Leadership

Capital One; New York (NY); Remote; USD 294,000 - 335,000; Full time

Benefits offered by this job

Remote work option

Job summary

Capital One is seeking a data science leader to deliver high-impact ML solutions across data platforms in a cloud-first environment. You will collaborate with data scientists, engineers, and product managers to turn complex datasets into real-time insights and customer value.

The role emphasizes building end-to-end models, evaluating state-of-the-art methods, and communicating results to stakeholders. Remote work options and multiple U.S. locations are available.

Qualifications

• Bachelor’s degree in a quantitative field plus 9 years of analytics experience OR Master’s in quantitative field or MBA with quantitative concentration plus 7 years OR PhD in quantitative field plus 4 years of analytics experience.
• At least 4 years of experience leveraging open source languages for large-scale data analysis.
• At least 4 years of experience building/deploying AI/ML models in production and designing/analyzing A/B tests.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack (Python, Conda, AWS, H2O, Spark, and more) to extract insights from large numeric and textual data.
• Build machine learning models through all phases from design to deployment.
• Translate complex work into tangible business goals.

Skills

Open source languages

AI/ML production

AB testing

Education

Bachelor's in quantitative field

Master's in quantitative field or MBA w/ quantitative

PhD in quantitative field

Tools

Python

Scala

R

AWS

Job description

Capital One is seeking a data science leader to deliver high-impact ML solutions across data platforms in a cloud-first environment. You will collaborate with data scientists, engineers, and product managers to turn complex datasets into real-time insights and customer value.

The role emphasizes building end-to-end models, evaluating state-of-the-art methods, and communicating results to stakeholders. Remote work options and multiple U.S. locations are available.