Capital One is looking to leverage data science and machine learning to improve underwriting decisions for new credit card customers, aiming to disrupt the industry at scale by analyzing billions of customer records to help people save money, time, and reduce financial stress.
Requirements
- At least 1 year of 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
- Experience with clustering, classification, sentiment analysis, time series, and deep learning
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Responsibilities
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Own the full life cycle of our models - development, deployment, monitoring, governance, and ongoing usage expansion and releases
- Collaborate closely with a wide range of cross functional partner teams - data engineers, platforms engineers, product managers, credit and business analysts, to deliver the solutions from ideation to implementation
- Continually research and evaluate emerging technologies
- Retrieve, combine, and analyze data from a variety of sources and structures
Other
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
