Principal Associate - Data Scientist - Credit Card Acquisitions
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The Card DS+ team is constantly looking to use the available data and technologies to give our customers the best experience there is in Credit Cards. This effort includes the entire journey of a customer from being an applicant to being a customer and maintaining a great relationship with Capital One. This means we are analyzing constantly evolving data every day to build solutions that help us make the best decisions for our customers and their financial well being. An equally important aspect of the team is to acquire and nurture talent that has helped and will continue to keep us as one of the top companies to work for.
In this role, you will:
Deliver Machine Learning (ML) models that solve a wide variety of problems in the Capital One Card ecosystem by writing highly optimized and robust pipelines for training as well as deployment of the models
Leverage a broad stack of technologies - Python to Scala, Dask to Spark, Sklearn to H2O, AWS, and more - to reveal the insights hidden within huge volumes of numeric and textual data
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of Machine Learning (ML) models and application code
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
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.
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.
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.
Statistically-minded. 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, time series analysis and more.
Bachelor's Degree plus 2 years of experience in data analytics, or Master's Degree, or PhD
At least 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with machine learning
At least 1 year of experience with relational databases
Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
At least 3 years' experience in Python or Scala
At least 3 years' experience with machine learning
At least 1 year of experience working with AWS
At least 1 year of experience with distributed computing frameworks (Spark, Dask, or Docker).
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.