Description
As a Principal Associate Data Scientist at Capital One, you'll work on machine learning models for personal loan acquisition. Your responsibilities include:
- Partnering with cross-functional teams to deliver customer-centric products
- Using technologies like Python, Conda, AWS, H2O, and Spark to analyze large datasets
- Building machine learning models throughout the development process
- Translating complex work into tangible business goals
The ideal candidate is customer-focused, innovative, technical, and statistically-minded. They should have experience with open-source languages, cloud computing platforms, and data science solutions.
Basic qualifications include:
- A Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science)
- Relevant experience in data analytics
Preferred qualifications include:
- A Master's or PhD in a STEM field
- Experience with AWS, Python, Scala, R, machine learning, marketing, or risk modeling
- SQL experience
The salary ranges for this role are:
- Chicago, IL: $147,100 - $167,900
- McLean, VA: $161,800 - $184,600
- New York, NY: $176,500 - $201,400
- Richmond, VA: $147,100 - $167,900
Benefits include comprehensive health, financial, and other wellness programs.