Data Scientist
Location: US, MA, Cambridge
Employment type: Full-time
Required experience: Mid-Senior level
Required education: Bachelor's Degree
Industry: Leisure, Travel & Tourism
Function: Data Analyst
Company profile: Flight pricing is highly complex and opaque, so travelers often don't have the information they need to get the best deals on flights. Hopper provides insightful, data-driven research to help travelers make better decisions about where to go, and when to fly and buy.At Hopper, we use data sets comprising billions of flight prices to help travelers find the right destination for their budget and feel confident that they’re getting the best possible deal.WHY JOIN HOPPER?Our goals are ambitiousPlanning travel sucks — but it doesn’t have to be that way. We believe we can bring together unprecedented amounts of data in an intuitive user interface to help educate travelers with data-driven insight to improve the way the world researches and books travel.The work is interesting and challengingWe think that’s reason enough to want in. We believe that the best products are a result of daily, iterative collaboration between a high-caliber team of designers, product people and developers, with lots of input from users along the way. In this pursuit, we're constantly breaking a lot of new ground; new tools and technologies, massive amounts of data to manage, and new possibilities in design. Life is always more interesting on the steep edge of the learning curve.We hire exceptional people and keep them happyWe pay top of market, give people the flexibility to accommodate their lives outside of work, make sure we set aside time to have fun together as a team, and have zero tolerance for poor performance or political bullshit. Learn more about our team and our offices in Boston and Montreal.We’re well-fundedWe’ve raised $22M from VCs like Atlas Venture, Brightspark and OMERS Ventures. So you won’t have to spend time worrying about where your next paycheck is coming from.
Description: Hopper is a travel startup based in Cambridge, MA & 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: A qualified candidate hasA degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplineExtremely strong analytical and problem-solving skillsA strong passion for and extensive experience in conducting empirical research and answering hard questions with dataAn adept ability for communicating complex technical work to non-technical audiencesExperience with relational databases and SQL, especially HiveExperience working with extremely large data setsExperience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysisExperience with data mining, machine learning, statistical modeling tools and underlying algorithmsProficiency with Unix/Linux environmentsSound like a fit? We can't wait to hear from you.
Benefits: Compensation will be competitive including equity in an early stage startup backed by top-tier VCs (Atlas Venture, Brightspark and OMERS Ventures).All your information will be kept confidential according to EEO guidelines.
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