Job Description

McLean 2 (19052), United States of America, McLean, Virginia

Principal, Data Science - US Card Fraud

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, youll be part of a team thats 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.

Team Description

The Fraud Fusion Cell, on the Card Machine Learning team acts as an always-on SWAT unit responding rapidly to emerging fraud attacks. Its turbocharged defenses have shortened typical fraud detection and deployment to weeks, which enhances how the Card team protects customers and Capital One. Fraud Fusion Cells' current projects combat fraud trends including Point of Compromise detection for compromised merchants, collusive merchants, and card testing sites. It also uses cyber underground credit card sales data to detect Capital One's compromised cards.

Role Description

In this role, you will:

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

* 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

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

The Ideal Candidate is:

* A data guru. Big data doesnt phase 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. Youve 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. Youre 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.

* Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.

Basic Qualifications:

* Bachelors Degree plus 5 years of experience in data analytics, or Masters Degree plus 3 years in data analytics, 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

Preferred Qualifications:

* Masters 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 1 year of experience working with AWS

* At least 3 years experience in Python, Scala, or R

* At least 3 years experience with machine learning

* At least 3 years experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.