Capital One is looking to disrupt the credit card industry by leveraging data science and machine learning to personalize credit card offers and improve financial decision-making for customers.
Requirements
- Python
- Conda
- AWS
- H2O
- Spark
- PySpark
- Dask
- 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
- Experience with clustering, classification, sentiment analysis, time series, and deep learning
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- 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
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Build and maintain advanced analytical tools that support the monitoring and performance evaluation of highly regulated risk models used for loss and revenue forecasting
- Operate at the intersection of data science, risk management, and financial forecasting, ensuring that our models meet stringent regulatory and business standards
- Leverage a tech stack consisting of Python, PySpark and Dask, and work with large-scale datasets to deliver robust and scalable solutions that drive critical business decisions
Other
- Innovative. You continually research and evaluate emerging technologies.
- Creative. You thrive on bringing definition to big, undefined problems.
- Statistically-minded.
- A data guru.
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
