Director, Data Science

Capital One is seeking a Director of Data Science to lead the next wave of disruption in the credit card industry. The successful candidate will be part of a team that applies AI models to credit decisioning, working closely with researchers and credit teams.

Responsibilities:

• Partner with cross-functional teams to deliver products customers love
• Leverage technologies such as Python, Conda, AWS, H2O, and Spark to reveal insights in large datasets
• Build machine learning models through all phases of development
• Translate complex work into tangible business goals

The Ideal Candidate:

• Is customer-focused and passionate about doing the right thing
• Is innovative and stays current with emerging technologies
• Is creative and thrives on solving big problems
• Is a leader who challenges conventional thinking and works with stakeholders
• Is technical and comfortable with open-source languages and cloud computing platforms
• Has experience with machine learning, clustering, classification, and deep learning
• Is a data guru with skills to retrieve, combine, and analyze data from various sources

Basic Qualifications:

• Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science)
• 9, 7, or 4 years of experience performing data analytics, respectively
• 4 years of experience leveraging open-source programming languages and working with machine learning and relational databases

Preferred Qualifications:

• PhD in STEM field with 5 years of experience in data analytics
• Experience working with AWS, Python, Scala, or R for large-scale data analysis

Salary ranges vary by location: Cambridge, MA: $269,100 - $307,200 McLean, VA: $269,100 - $307,200 New York, NY: $293,600 - $335,100 Richmond, VA: $244,700 - $279,200 San Francisco, CA: $293,600 - $335,100