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, unlocking opportunities that help everyday people save money, time and agony in their financial lives.
Requirements
- 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
- Prior experience in AI, information retrieval, or NLP
- Experience with clustering, classification, sentiment analysis, time series, and deep learning.
- Skills to retrieve, combine, and analyze data from a variety of sources and structures.
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
- Focus on cutting-edge techniques such as Retrieval Augmented Generation (RAG), Context Engineering, Prompt Engineering, and LLM Fine Tuning.
- 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 data science solutions using open-source tools and cloud computing platforms.
Other
- 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.
- A data guru. “Big data” doesn’t faze you.
