Description
As a Principal Data Scientist at Capital One, you'll lead the next wave of disruption using the latest computing and machine learning technologies across billions of customer records.
Responsibilities
- Partner with cross-functional teams to deliver products customers love
- Leverage technologies like Python, Conda, AWS, H2O, Spark to reveal insights in large datasets
- Build machine learning models through all development phases
- Translate complex work into tangible business goals
The Ideal Candidate
- Is innovative, staying current with emerging technologies and seeking opportunities to apply them
- Is creative, defining big problems and finding answers
- Is technical, comfortable with open-source languages and cloud computing platforms
- Is statistically-minded, with experience in model building, validation, and interpretation
- Is a data guru, skilled in retrieving, combining, and analyzing data from various sources
Basic Qualifications
- Bachelor's Degree in a quantitative field plus 5 years of data analytics experience
- Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of experience
- PhD in a quantitative field
Preferred Qualifications
- Master's or PhD in STEM field
- Experience with AWS, Python, SQL, Deep Learning Frameworks, Natural Language Processing
Salary Information
- McLean, VA: $161,800 - $184,600
- New York, NY: $176,500 - $201,400
- San Jose, CA: $176,500 - $201,400