Description
As a Manager, Data Science at Capital One, you will lead the next wave of disruption in the financial industry, using cutting-edge machine learning technologies and operating across billions of customer records.
Team Description The US Card data science organization focuses on customer management, building top-tier machine learning solutions for real-time customer behavioral prediction and valuation forecasts.
Role Description In this role, you will:
- Partner with cross-functional teams to deliver customer-centric products
- Leverage a broad stack of technologies, including Python, Conda, AWS, H2O, and Spark, to analyze huge volumes of data
- Build machine learning models through all phases of development
- Translate complex work into tangible business goals
The Ideal Candidate is customer-focused, innovative, creative, a leader, technical, statistically-minded, and a data guru.
Basic Qualifications
- Currently has or is in the process of obtaining a degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field)
- 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 a STEM field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS, Python, Scala, or R for large-scale data analysis
- Experience with machine learning and SQL
Salary Information The minimum and maximum full-time annual salaries for this role are:
- Cambridge, MA: $197,300 - $225,100
- McLean, VA: $197,300 - $225,100
- New York, NY: $215,200 - $245,600
- Richmond, VA: $179,400 - $204,700
Benefits Capital One offers a comprehensive set of health, financial, and other benefits that support total well-being.