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Senior Associate, Data Science

Capital One


Location:
McLean, VA
Date:
03/29/2017
Job Code:
capitalone2-R19478
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Job Details

Company Capital One

Job Title: Senior Associate, Data Science

JobID: capitalone2-R19478

Location: McLean, VA, 22106, USA

Description: 1750 Tysons (12023), United States of America, McLean, Virginia



Senior Associate, Data Science



Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation’s top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.



At Capital One, data is at the center of everything we do. As a Data Scientist at Capital One, you’ll be part of a team that’s using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Be ready to join a community of the smartest folks you’ve ever met, who see the customer first, and want to use their data skills to make a difference.



On any given day you’ll be:



+ Using Hadoop and related tools (Pig, Hive, Impala) to manage the analysis of billions of customer transaction records

+ Writing software to clean and investigate large, messy data sets of numerical and textual data -Integrating with external data sources and APIs to discover interesting trends (NOAA Weather Data + Credit Card Transactions = Fascinating!)

+ Creating machine learning models from development through testing and validation to our 30+ million customers in production

+ Designing rich data visualizations to communicate complex ideas to customers or company leaders -Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow The Ideal Candidate will be…

+ Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You probably have a diploma and an impressive GPA, or you dropped out of college, taught yourself and routinely win Kaggle competitions.

+ -Wrangler. You know how to move data around, from a database or an API, through a transformation or two, a model and into human-readable form (ROC curve, Excel chart, map, d3 visualization, Tableau, etc.).

+ You probably know Python, Java, R, Storm, Julia, SQL, Matlab, Mahout, or think everything can be done in a Perl one-liner.

+ Do-er. You have a bias toward action, you try things, and sometimes you fail. Expect to tell us what you’ve shipped and what’s flopped

+ Fearless. Big, undefined problems and petabytes don't frighten you. You can work at a tiny crack until you've broken open the whole nut.



Basic Qualifications:



-Bachelor’s Degree or military experience



-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



Preferred Qualifications:



- Master’s Degree or PhD



- Experience working with AWS



- At least 2 years’ experience in Python, Scala, or R



- At least 2 years’ experience with machine learning



- At least 2 years’ experience with SQL



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



At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               


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