Sign up for our awesome New York Tech Events (& more) weekly email newsletter :)
 
 
 
 

 
Details
Posted On:  Thursday, Dec 15
Location: New York, NY
 
Type: Full Time
Category: Other
 
Permalink:  http://gary.to/jg4tkd0
Job Description
Etsy is seeking data mining scientists to join our data mining team. As a scientist at Etsy, you will be developing cutting edge algorithms that drive our recommender systems and search ranking engines. This development includes both research and engineering across our entire stack: data analysis and algorithmic prototyping, implementation within our Hadoop infrastructure, and integration with Etsy's web stack. You love experimentation and are motivated to understand everything you build, from algorithmic changes to front-end improvements. You look forward to embracing our continuous deployment process at Etsy and believe in a highly iterative approach to problem solving.


About the Engineering Team

The technical staff at Etsy believes that code is craft, good software and systems designs are works of art, and that the work we do is part of larger creative culture represented by the hundreds of thousands of inspired makers who make Etsy such a wondrous marketplace. We believe that small, empowered, self-motivated teams can do big things. We also believe in the right tool for the job, not language-as-religion. Our current systems run PHP, Java, Python, Ruby, Solr/Lucene, Postgres, MySQL, and more. Check out our Engineering blog: http://codeascraft.etsy.com/

About the Job:

As part of the data mining team at Etsy, you would:
Build next-generation recommender systems, search quality algorithms, and targeting / optimization applications
Prototype and implement algorithms via Hadoop and over hundreds of terabytes of data
Integrate algorithms with Etsy's web stack via PHP and javascript
Deploy continuously, test continuously, and learn
About You

To be a great fit for this role, you have:
3+ years experience building industrial data mining systems
Experience with Hadoop and working with multi-terabyte systems
Deep understanding and experience with state of the art machine learning and data mining algorithms
Experience working on search ranking algorithms in an industrial setting
M.S. or Ph.D. in Computer Science
About Us

Etsy is the world's most vibrant handmade marketplace. Our mission is to enable people all over the world to make a living making things. The growing Etsy community includes over 10 million members in over 150 countries. Our sellers collectively list around 10 million active items, and in 2010 we sold over $300 million of goods. Etsy operates transparently and you can check in to see how the Etsy community is doing in our monthly weather reports.

Our offices are like this http://www.avc.com/a_vc/2010/09/the-office-matters.html and this http://www.officesnapshots.com/2010/10/11/etsy-offices/. We're empowered and expected to be ourselves, share our ideas and figure out what we can each do to keep Etsy evolving. You'll get to work with some of the brightest, most creative people you've ever met—but you'll also be challenged to be one of those people. We have full company-paid benefits, including family and domestic partner benefits, humane working hours, couches, quiet spaces, lunch twice a week and handmade desks.

Dogs are part of the team, and are expected to commit code.

What's Next

We're growing rapidly and are well funded with a proven business model and established revenue to help us continue growing and serving our community. If you're interested in joining the team at Etsy, please send a cover letter along with your resume telling us what inspires you about Etsy and why you think you are perfect for the team (resumes without a cover letter will not be considered). If you contribute to an open source project, write a blog, or practice another craft besides coding, that means something to us, and we would love to hear about it when you write!
 
 
Company
Etsy
Buy and sell handmade or vintage items, art and supplies on Etsy, the world's most vibrant handmade marketplace.
 
 
 
How To Apply
 
Share
     
 
Options
 
 
 
 
 
Featured In
 
© 2013 GarysGuide   About   Terms    Press   Feedback   San Francisco