Data Scientist
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.
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
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