Javascript Developer - Rippleshot
JOB DESCRIPTIONRippleshot is looking for a Javascript developer that will work with our front-end and back-end engineers to develop version 2.0 of Rippleshot. Attention to detail and a curiosity to jump into our development process is a must.ADDITIONAL INFORMATIONWhat will you work on? Rippleshot uses Machine Learning and Big Data to analyze credit card transactions in ways that haven't been possible before. Millions of records are processed per day and loaded into a hadoop cluster. From there, the machine learning algorithm will compare that data with verified fraud to identify merchants that may have suffered a data breach earlier than current manual methods. This data is loaded into a Ruby on Rails platform which acts as an AJAX back-end for the Javascript data visualization front end. This JS front-end uses AngularJS and D3 to make it even easier for users to see data breaches as quickly as they are detected.ABOUT USIn our 15 years of experience identifying and mitigating card fraud, we’ve seen the problem grow from a transaction-level headache to a commerce-threatening phenomenon. In 2012 the founders came together to change the fight against fraud by creating Rippleshot.We take a big data machine learning approach that is familiar to search, genetics and advertising and apply it in a novel way for the payment processing industry. We focus on merchant instead of consumer behavior. We monitor millions of merchants and their transactions, searching through the data for subtle behavioral patterns that indicate the early stages of a breach. We use sophisticated statistics and modeling to distinguish between real breaches and nearby stores that share many of the same patrons, resulting in very accurate assessments.
Title: Javascript Developer - Rippleshot
Salary: 60000-80000
Description: JOB DESCRIPTIONRippleshot is looking for a Javascript developer that will work with our front-end and back-end engineers to develop version 2.0 of Rippleshot. Attention to detail and a curiosity to jump into our development process is a must.ADDITIONAL INFORMATIONWhat will you work on? Rippleshot uses Machine Learning and Big Data to analyze credit card transactions in ways that haven't been possible before. Millions of records are processed per day and loaded into a hadoop cluster. From there, the machine learning algorithm will compare that data with verified fraud to identify merchants that may have suffered a data breach earlier than current manual methods. This data is loaded into a Ruby on Rails platform which acts as an AJAX back-end for the Javascript data visualization front end. This JS front-end uses AngularJS and D3 to make it even easier for users to see data breaches as quickly as they are detected.ABOUT USIn our 15 years of experience identifying and mitigating card fraud, we’ve seen the problem grow from a transaction-level headache to a commerce-threatening phenomenon. In 2012 the founders came together to change the fight against fraud by creating Rippleshot.We take a big data machine learning approach that is familiar to search, genetics and advertising and apply it in a novel way for the payment processing industry. We focus on merchant instead of consumer behavior. We monitor millions of merchants and their transactions, searching through the data for subtle behavioral patterns that indicate the early stages of a breach. We use sophisticated statistics and modeling to distinguish between real breaches and nearby stores that share many of the same patrons, resulting in very accurate assessments.
Requirements: Mid-Senior level experience, Bachelor's Degree education
Fraudulent: No