Principal Associate, Data Scientist - US Card; Credit Team

Position: Principal Associate, Data Scientist - US Card (New To Credit Team)
* Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
* Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Kubeflow Pipelines, and more — to reveal the insights hidden within huge volumes of numeric and textual data
* 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
* A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
* Statistically-minded. You’ve built models, validated them, and backtested 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.
* Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
* Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
* A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
* A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
* A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
* Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
* At least 1 year of experience working with AWS
* At least 3 years’ experience in Python
* At least 3 years’ experience with building machine learning models, with at least one year of experience with building GBM models
* At least 3 years’ experience with SQLCapital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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