Data Scientists/Senior Data Scientists - Marketwire L.P.

Marketwired is a social communications company headquartered in Toronto, Canada with offices throughout Canada, the United States, South America, and Asia. Marketwired was founded in 1993 and incorporated in the U.S in 1999. The company distributes press releases via traditional methods (Associated Press, Bloomberg, etc.) as well as new media methods and provides, multimedia (photo and video) distribution, conferencing services, media contact management and media monitoring services.
Sysomos is redefining social media analytics with a powerful product suite that provides customers with the tools to measure, monitor, understand and engage with the social media landscape. Sysomos provides instant access to all social media conversations from blogs, social networks and micro-blogging services to forums, video sites and media sources.
The Science Labs group is a newly created team tasked to bring cool new features to the Sysomos social analytic platform. We will use math, stats modeling, machine learning, text mining, graph/network analytics, map-reduce algorithms, scalable programming on big data platforms to solve seemingly intractable problems that will address previously unidentified market needs.
We are looking for Data Scientists/Senior Data Scientists to work in the Labs team in Toronto.
We are looking for someone with the following skills:
PhD preferred, or Masters with 5 years work experience in Engineering, Computer Science, or related fields.
Advanced knowledge of data mining, machine learning algorithms, text mining, data structures and performance optimization.
Deep understanding of statistical modeling, parametric vs non-parametric methods.
Hands-on experience in statistical computing software (R, MatLab, SPSS) and big data analytics tools (e.g. Hadoop, Mahout, Map-Reduce, Impala, etc), and NLP methods (OpenNLP, LingPipe)
Database, Search, and Indexing tools and methods: MySQL, Apache Lucene, Solr
Strong programming background in Java, C++/C, Perl, Python, etc. in a Linux environment.
Experience with large scale social media data (Twitter, Facebook, Linkedin, Google+, etc.)
Bonus points for implementation of Big Data and/or Streaming data analytics or visualization
Exceptional problem solving and analytical skills, and excellent communication skills to work collaboratively with colleagues and customers.