Data Scientist
Hopper is a travel startup based in Cambridge, MA &amp; Montreal, QC.  We combine insightful research on massive data sets with intuitive design to help travelers make better decisions about where to go and when to fly and buy.We’re looking for a data-savvy individual to join our team as a data scientist focusing on analyzing large sets of flight search data, creating reports that will be syndicated in online media outlets, and conducting research to support product development.  You may be a great fit for our team if you are excited about using huge (and sometimes messy) data sets and applying them to topical news and popular culture.*We're looking for someone to fill this role in a full-time capacity immediately, so unfortunately we are unable to consider 2015 degree candidates at this time. In this role you willFrame and conduct complex analyses and experiments using tremendously large (e.g. 10^6 to 10^10 records), complex (not always well-structured, highly variable) data setsDesign and implement ad hoc and automated analysis scripts, design and deliver appropriate summary tables, charts and interactive tools to present your resultsDraw conclusions and effectively communicate findings with non-technical audiencesTransform complex analyses into short, compelling, and easy to understand studies to share with journalists
Title: Data Scientist
Salary: None
Description: Hopper is a travel startup based in Cambridge, MA &amp; Montreal, QC.  We combine insightful research on massive data sets with intuitive design to help travelers make better decisions about where to go and when to fly and buy.We’re looking for a data-savvy individual to join our team as a data scientist focusing on analyzing large sets of flight search data, creating reports that will be syndicated in online media outlets, and conducting research to support product development.  You may be a great fit for our team if you are excited about using huge (and sometimes messy) data sets and applying them to topical news and popular culture.*We're looking for someone to fill this role in a full-time capacity immediately, so unfortunately we are unable to consider 2015 degree candidates at this time. In this role you willFrame and conduct complex analyses and experiments using tremendously large (e.g. 10^6 to 10^10 records), complex (not always well-structured, highly variable) data setsDesign and implement ad hoc and automated analysis scripts, design and deliver appropriate summary tables, charts and interactive tools to present your resultsDraw conclusions and effectively communicate findings with non-technical audiencesTransform complex analyses into short, compelling, and easy to understand studies to share with journalists
Requirements: Mid-Senior level experience, Bachelor's Degree education
Fraudulent: No