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Funding10M-20M USD
Employees45
SalaryShhhh...
FulltimeYes
TelecommuteNo
IndustrySaaS
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Senior Engineer - Data Science

at Topsy in San Francisco, CA   —   Apr 06, 2014   |  
Overview
Topsy is looking for experienced Software Engineers to help us further develop the highest performing, most scalable social media search & analytics platform in the market.

The ideal candidate will have significant experience building real-time production systems to consume and query Big Data, practical experience in the NoSql space, and experience building and using large (petabyte large) Map Reduce environments to regularly gain new insights into historical data. Candidate should be able to design, and build systems and algorithms for text mining and machine learning tasks, such as extracting useful features out of tens of billions of unstructured data elements (e.g. Tweets).
Responsibilities
Develop and implement prototypes for analytic tools and models to be included in product offerings
Design systems and algorithms for text mining and machine learning tasks
Discover and quantify relationships between features across large volumes of social media data, with application to real-world data
Collaborate with other engineers and with operations to deliver scalable, robust, and high-performance systems
Solve hard problems
Experience
5+ years experience writing in Perl, Python, Java, or C++ and willingness to adapt to new languages
5+ years experience with object-oriented development
Practical experience with distributed computing and clustering architectures
Practical experience with development on Unix
Practical experience with distributed computing and clustering architectures - Hadoop/MapReduce
Solid background and experience in machine learning and/o natural language processing
Ability to work alone and in small teams to deliver production infrastructure
Aversion to technical deb
Skills
Deep understanding of Hadoop or MapReduce
Broad and deep knowledge of Perl or Python and commonly used modules
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