Location: Vienna, VA
Capital One is seeking a Data Scientist at the Manager level for an exciting new initiative to develop multichannel natural language intelligent assistants that provide an outstanding experience for our customers. You will work closely with our product, design, and engineering teams to perform sophisticated statistical analyses about human and chatbot behavior, which will in turn bring greater intelligence and humanity to our conversational AI. So far we’ve brought Eno (SMS, web site, apps, interactive email, browser extension) and our Alexa and Cortana skills to life. We’re quickly improving these and adding more channels.
At Capital One, data is at the center of everything we do. When we were a tiny 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 that 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.
Twenty-five years after Capital One was started it’s still led by its founder who is committed to making it a leading tech company, not just a leading bank. Be ready to join a community of the smartest people you’ve ever met, who put the customer first, and want to use their data skills to change banking for good.
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 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. You’ll also be part of a strong community of hundreds of data scientists doing industry-leading work.
In this position you’ll spend time analyzing human and chatbot behavior with sophisticated statistical models to pinpoint our best opportunities to improve customer experience and engagement.
On any given day you may also find yourself:
– Designing, running, and analyzing experiments to pinpoint which features to focus on building
– 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!)
– Using Spark and related tools to manage the analysis of billions of customer transaction records
– 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
– Supplying data-focused leadership, Product, Tech, and Design teams with the insights they need to make decisions based on the best research available
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:
– At least a Master’s Degree and a minimum of 2 years of experience OR a Bachelor’s Degree and a minimum of 6 years of experience
– At least 2 years of experience with using statistics to analyze human behavior
– At least 2 years of experience in open source programming languages for large scale data analysis
– At least 1 year of experience with relational databases
– At least 1 year of experience with SQL
Preferred Qualifications:
– PhD
– 3+ years of experience with using statistics to analyze human behavior
– 3+ years of experience in open source programming languages for large scale data analysis
– 1+ years of experience with machine learning
– 2+ years of experience with relational databases
– 2+ years of experience with SQL
