Description
The Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
We prevent fraud at many steps of a customer journey, from the application to spending and payments, using real-time models.
We care very deeply about doing things the right way, automating, and innovating to improve the customer experience and prevent fraud.
In this role, you will :
Utilize Deep Learning and Sequence Modelling techniques to build Fraud models
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, Pytorch, Tensorflow 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
The Ideal Candidate is :
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
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