Manager, Data Scientist - Application Fraud Team

Center 1 (19052), United States of America, McLean, Virginia

Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.

Manager, Data Scientist - Application Fraud Team

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, 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 Application Fraud data science team builds the machine learning models that help protect our customers and Capital One against fraudsters.

We prevent fraud at the application stage using real-time models. We care deeply about doing things the right way, automating, and innovating to improve the customer experience and prevent fraud.

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 :

• 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.
• 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.

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.

Basic Qualifications :

• Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
• At least 2 years' experience in open source programming languages for large scale data analysis
• At least 2 years' experience with machine learning
• At least 2 years' experience with relational databases

Preferred Qualifications :

• PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
• At least 1 year of experience working with AWS
• At least 4 years' experience in Python, Scala, or R for large scale data analysis
• At least 4 years' experience with machine learning
• At least 4 years' experience with SQL
• At least 2 years' experience building or validating models for financial services

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

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