Description
As a Manager, Data Science in Capital One's Model Risk Office, you will partner with cross-functional teams to deliver products customers love, leveraging technologies like Python, Conda, AWS, H2O, and Spark to analyze huge volumes of data.
You will build machine learning models through all phases of development, from design to implementation, and translate complex work into tangible business goals.
The ideal candidate is innovative, technical, statistically-minded, and a data guru with experience in open-source languages, cloud computing platforms, and data analysis.
Basic Qualifications:
- Currently has or is in the process of obtaining a Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)
- At least 1 year of experience leveraging open-source programming languages for large-scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Preferred Qualifications:
- PhD in STEM field plus 3 years of experience in data analytics
- At least 1 year of experience working with AWS
- At least 4 years of experience in Python, Scala, or R for large-scale data analysis
- At least 4 years of experience with machine learning
- At least 4 years of experience with SQL
Salary Range: $197,300 - $225,100 per year
Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.