Senior Director, Data Science & AI Strategy

Capital One; San Francisco (CA); On-site; USD 294,000 - 335,000; Full time

Benefits offered by this job

Performance incentives

Comprehensive benefits

Career development

Job summary

Capital One is seeking a Director of Data Science to lead AI/ML initiatives across billions of records. You will design experiments, guide AI strategy, and collaborate with cross-functional teams to deliver enterprise products.

The role demands strong technical and leadership skills in open-source tools and cloud platforms. You will translate complex findings into business impact for C-level stakeholders, drive experimentation, and mentor a growing science team in a fast-moving data-driven

Qualifications

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

Responsibilities

• Partner with a cross-functional team of data scientists, AI/ML engineers, and product managers to deliver enterprise products
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark to reveal insights
• Build machine learning models through all development phases from design to deployment
• Translate complex work into tangible business goals for stakeholders

Skills

Python

R

Scala

Open-source languages

Large-scale 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

Conda

AWS

H2O

Spark

Job description

Capital One is seeking a Director of Data Science to lead AI/ML initiatives across billions of records. You will design experiments, guide AI strategy, and collaborate with cross-functional teams to deliver enterprise products.

The role demands strong technical and leadership skills in open-source tools and cloud platforms. You will translate complex findings into business impact for C-level stakeholders, drive experimentation, and mentor a growing science team in a fast-moving data-driven