We are seeking an Analytics/Data Engineer to play a key role in developing our pioneering analytics dashboard for our music industry clients. This position has to be a mix of theory and practice. You must know how to solve a problem and implement a solution. As we continue to grow and scale our technology, the treasure trove of data available to mine is infinite and what we choose to do with that data is boundless.
Ticketfly already provides the best data-analysis of any ticketing company out there; period. We want to take that to the next level. Our ideal candidate has a theoretical background but still enjoys getting their hands dirty in the code.
Experience in ranking and classification algorithms
Building real-time / near real-time data warehouses with open source tools such as Hadoop, Hive, HBase, RDBMS ( MySQL, Postgre, LucidDB )
Data Mining / Knowledge Extraction with Weka, Mahout
Experience in data visualization
Extensive experience in the field including a solid mathematical foundation in graph & category theory, boolean algebra, statistics, etc.
Algorithm design and analysis
BS in Physics, Math, Statistics or MS in CS, Machine Learning or extensive experience in the field, including a solid mathematical foundation in graph & category theory, boolean algebra, statistics, etc.
Ability to clearly express your ideas orally and in writing
Thrives in a fun, fast-paced start-up environment
Groovy & Grails
Strong Java skills
Scala & Akka
Lucene-based search technologies, including Solr, Compass & ElasticSearch
Active member of user groups or open source projects
Ticketfly - 7 months ago
Ticketfly was founded in 2008 by Andrew Dreskin, the founder and CEO of TicketWeb, the first company to sell tickets online in 1995, and Dan...