Capital One is looking to leverage Generative AI capabilities within the Commercial Bank to disrupt the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database.
Requirements
- Experience with Python, Scala, or R
- Experience with machine learning
- Experience with SQL
- Prior experience in AI, information retrieval, or NLP
- Experience working with AWS
- 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
- Continually research and evaluate emerging technologies.
- Stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Develop further in open-source languages.
- Have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Other
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- Innovative. You continually research and evaluate emerging technologies.
- Creative. You thrive on bringing definition to big, undefined problems.
- Statistically-minded. You’ve built models, validated them, and backtested them.
