Description
In this role, you will :
Build end-to-end innovative data science solutions to solve business pain points and accelerate stakeholders and end users adoptions of the solutions
Partner with a cross-functional team of data analysts, risk professionals, software engineers, and product managers to manage the risk and uncertainty inherent in statistical models in order to lead Capital One to the best decisions, not just avoid the worst ones
Leverage a broad stack of technologies Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning and NLP models through all phases of development, from design through training, evaluation, validation, and implementation.
Productionize highly scalable data pipelines for faster feature changes and updates, and implementing data validation framework and quality tests
Investigate new technology to advance data management, model development and deployment and drive change in enterprise ML products
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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