Director, Data Science — Strategy & AI Innovation (Remote)

Capital One; Sacramento (CA); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Director-level Data Scientist for the Consumer and Developer Experience team, offering remote eligibility in the United States. You will lead data science initiatives spanning digital engagement, marketing analytics, and risk management, working to transform customer experiences with scalable ML solutions.

You will partner with software engineers, analysts, and product managers to deliver data-driven products that drive key business metrics, leveraging open source tools

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 experience
• PhD in a quantitative field plus 4 years of analytics experience
• At least 4 years of experience leveraging open source programming languages for large scale data analysis
• At least 4 years of experience working with machine learning
• At least 4 years of experience utilizing relational databases

Responsibilities

• Partner with cross-functional teams to deliver products customers love that move the needle for the business
• Leverage Python, Conda, AWS, H2O, Spark to reveal insights from large data sets
• Build machine learning models through all development stages: design, training, evaluation, validation, implementation
• Translate complex work into tangible business goals and drive stakeholder alignment

Skills

Python

Scala

R

SQL

Education

Bachelor's degree in quantitative field

Master's degree with quantitative concentration

PhD in quantitative field

Tools

AWS

H2O

Spark

Conda

Job description

Capital One is seeking a Director-level Data Scientist for the Consumer and Developer Experience team, offering remote eligibility in the United States. You will lead data science initiatives spanning digital engagement, marketing analytics, and risk management, working to transform customer experiences with scalable ML solutions.

You will partner with software engineers, analysts, and product managers to deliver data-driven products that drive key business metrics, leveraging open source tools