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. You'll partner with a cross-functional team to build a next-generation entity resolution solution, leveraging cutting-edge machine learning approaches.
Responsibilities:
- Partner with data scientists, software engineers, and product managers to build a next-generation entity resolution solution
- Leverage technologies like Python, AWS, Spark, and modern machine learning models to reveal insights in large datasets
- Build machine learning models through all phases of development
- Leverage Agentic AI tools and workflows to build and test
- 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, thriving on defining big, undefined problems and finding answers
- Is technical, comfortable with open-source languages and developing data science solutions
- Is statistically-minded, with experience building and validating models
- Is a data guru, skilled in retrieving, combining, and analyzing data from various sources
Basic Qualifications:
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) plus 5 years of experience in data analytics
- Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience in data analytics
- PhD in a quantitative field
Preferred Qualifications:
- Master's Degree or PhD in a STEM field
- Experience working with AWS
- At least 3 years' experience in Python, Scala, or R
- At least 3 years' experience with machine learning
- At least 3 years' experience with SQL
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits