Capital One is looking to leverage data science and machine learning, including emerging NLP and Generative AI technologies, to build next-generation features, manage risk and uncertainty, and unlock opportunities to save customers money, time, and agony in their financial lives.
Requirements
- At least 2 years of experience with machine learning with a focus on Natural Language Processing
- At least 2 years of experience working with Natural Language Processing models (e.g., Transformers)
- At least 2 years of experience in Python, Scala, Dask, Spark or R for large scale data analysis
- At least 2 years of experience with SQL
- At least 1 year of experience working with AWS
- You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- You’ve built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Responsibilities
- 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
- Develop visualization tools to streamline model monitoring reports
- Investigate new technology to advance data management, model development and deployment and drive change in enterprise ML products
- Partner with a cross-functional team of data scientists, data analysts, risk professionals, software engineers, and product managers to manage risk and uncertainty in order to lead Capital One to the best decisions, not just avoid the worst ones
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Other
- Partner with a cross-functional team of data scientists, data analysts, risk professionals, software engineers, and product managers to manage risk and uncertainty in order to lead Capital One to the best decisions, not just avoid the worst ones
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
- 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 to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- Collaboration and Communication. You’re capable of effectively articulating data insights and analytics strategies to a diverse audience, including auditors, engineers, product managers and leadership.
