Interested in Big Data exploration and Natural Language Processing? Want to get real learning experience doing innovative work at an awesome MIT tech startup?
dMetrics is looking for a data aggregation & web research assistant at our NYC headquarters in Williamsburg, Brooklyn. We're based a few blocks from the Bedford L train.
Our engineers have built advanced text-mining algorithms that analyze online discussion: from blogs, forums, reviews, articles, any kind of online/in text conversation you can imagine. Our product evaluates millions of consumers to generate comprehensive, unambiguous answers to questions like: “Which single, young men prefer Old Spice deodorant to Axe deodorant – and why?” What we're doing is also changing the advertising industry, and developing a super-human ping pong team. dMetrics is supported by the National Science Foundation as well as private investors. We’re a solid team of world-class engineers and researchers (and friendly nerds), and we’re rapidly expanding.
This will be a paid position for the right candidate, and for all interns we offer a travel stipend, weekly group lunch and access to lots and lots of snacks (admittedly, not all of which are healthy).
Send us a brief introduction, resume, and tell us why you think you’d be a good fit! This position is located in Brooklyn, NY and is not offered remotely. You must be eligible to work in the U.S.
Please send your application to: firstname.lastname@example.org
A responsible, motivated, and hard-working team player.
Experienced with internet and industry research. Most importantly, you are able to make quick, thoughtful decisions and deliver relevant results.
Know a bit about programming. You don’t have to be mid-career with 5 years of experience, but hopefully you’ve taken a class or two.
Bonus: Familiarity with project management tools, Java programming, and computational linguistics are a major plus!
Triple Word Score Bonus Points for Experience in Any of the following: Pig, R, bash/unix, Hadoop, Git, MongoDB, Maven, ElasticSearch