Capital One Principal Associate Data Scientist 

United States, Virginia, Richmond 

170681167

Partner with a cross-functional team of data scientists, business analysts, software engineers, and product managers to deliver a product customers love

Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

Leverage a broad stack of technologies — Python, Kubeflow, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data

Flex your interpersonal skills to translate the complexity of your work into tangible business goals

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 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.

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.

Currently has, or is in the process of obtaining a Bachelor’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date

At least 1 year experience in open source programming languages for large scale data analysis

At least 1 year experience with machine learning

At least 1 year 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)

3+ years’ experience in open source programming languages for large scale data analysis

3+ years’ experience with machine learning

3+ years’ experience with relational databases

3+ years’ experience with SQL

Experience with Kubeflow Pipelines

Experience with XGBoost