Description
As a Senior Associate, Data Scientist at Capital One, you will be part of a team that leads the next wave of disruption in the credit card industry, using the latest in computing and machine learning technologies.
The US Card Data Science organization at Capital One leverages customer data to drive business strategy and deliver world-class customer experiences. You will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.
Responsibilities:
- Partner with a cross-functional team to deliver a product customers love
- Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal insights hidden within huge volumes of data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Translate complex work into tangible business goals
- Adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location
The Ideal Candidate:
- Is innovative, staying current on emerging technologies and seeking opportunities to apply them
- Is creative, thriving on solving big, undefined problems and sharing new ideas
- Is technical, with hands-on experience developing data science solutions using open-source tools and cloud computing platforms
- Is statistically-minded, with experience building and validating models, and interpreting metrics like confusion matrices and ROC curves
- Is a data guru, with skills to retrieve, combine, and analyze data from various sources and structures
Basic Qualifications:
- Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- Or, a Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
- Master's Degree in a STEM field (Science, Technology, Engineering, or Mathematics), or PhD in a STEM field
- Experience working with AWS
- At least 2 years' experience in Python, Scala, or R
- At least 2 years' experience with machine learning
- At least 2 years' experience with SQL
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well-being
Salary Information:
- Cambridge, MA: $135,600 - $154,800 for Sr Assoc, Data Science
- McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science
- New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science