Capital One is looking to leverage data-driven decision-making and machine learning technologies to unlock opportunities and improve financial lives by personalizing credit card offers at scale.
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
Responsibilities
- 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
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Translate the complexity of your work into tangible business goals
- Retrieve, combine, and analyze data from a variety of sources and structures
- Build models, validate them, and backtest them
- Interpret a confusion matrix or a ROC curve
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.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- A data guru. “Big data” doesn’t faze you.
- Full-time
