Our engineers are expected to wear a number of hats and have the opportunity to touch all parts of the stack. As an engineer at AMG, you might work to improve our optimization algorithms, write Map/Reduce code, participate in architectural decisions for new components, or improve performance in collaboration with DevOps. In the same week, you could work on user-facing interfaces and reports with frontend developers, write code to import, process and QC terabytes of new data, and work with analysts and statisticians to ensure the validity of our processes.



       Bachelor’s degree in Computer Science or a related field (or 4 years of relevant work experience)

       A strong understanding of data structures, algorithms, and effective software design

       Significant development experience with a lower level language (e.g. Java, C/C++, C#)

       Proficiency with SQL and RDBMSs (preferably PostgreSQL or mySQL)

       Experience with at least one web framework (e.g. Ruby/Rails, Python/ Django) and solid understanding of the MVC design pattern

       Experience writing unit and functional tests

       Comfort with version control systems (e.g. Git, SVN)

       Excellent verbal and written communication skills; must work well in an agile, collaborative team environment

Any of the following will really get us excited:

       Master’s in Computer Science or a related field

       Basic understanding of statistics and experience with statistical packages such as R, Matlab, SPSS, etc.

       Practical experience with unsupervised machine learning techniques

       Practical experience with the Map/Reduce programming model and Hadoop

       Experience wrangling terabytes of big, complicated, imperfect data

       Experience with frontend languages, especially Javascript, HTML5, and CSS3

       Strong background with test-driven development

About Analytics Media Group

Part tech start-up, part media analytics firm, we have big goals and are moving fast to accomplish them. We grew out of the Obama Campaign, where we used individual-level data to improve our ability to buy the most valuable ads for the money. Though we were outspent, our ability to target our audience in a sophisticated way meant our dollars were better spent than the oppositions'.  We're bringing this methodology (and scrappiness!) to a broad array of clients, who range from Fortune 500 consumer companies to political candidates and interest groups. And we have made some waves— check out the New York Times Magazine profile of our approach: www.amg.tv/nyt

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