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Research Analyst: Social Media, Text Mining, Big Data, Semantic Search

          

This new cutting-edge analytic job opportunity will be involved with Social Media, Text Mining, Big Data, Semantic Search, Statistics, and Social Networking Analysis for travel distribution.

Sabre Holdings Company: Sabre Holdings
Location: Southlake, TX
Web: www.sabre.com

Sabre Holdings, the largest and fastest growing Travel and Hospitality Technology Company, is recruiting for a newly-conceived, cutting-edge analytic job opportunity. We are looking for a Research Analyst that will be involved with Social Media, Text Mining, Big Data, Semantic Search, Statistics, and Social Networking Analysis for travel distribution.

In order to be considered, a candidate must hold a quantitative Ph.D or will attain the degree by December of 2012. Classes in Social Network Analysis, Database Technologies, Data Mining, and Text Mining are also required.

This opportunity is located in Southlake, TX, in between Dallas and Ft. Worth, Texas. A generous relocation package is offered, as well as great benefits and 100% matching on the 401k.

_Contact_:
To apply please use this link and please email me at randy.norman.ctr@sabre.com and please let me know you have applied.

Thanks, Randy

Research Analyst - Social Media, Text Mining, Big Data, Semantic Search - 00IFO

Sabre Research is seeking an quantitative analyst specializing in social media, text mining, big data, and semantic search to perform studies and build proof-of-concept models and systems for travel distribution.

Key duties/responsibilities:

Conduct analyses and develop models to support Sabre travel distribution (both for Sabre agencies and for Travelocity). The successful candidate will interact with marketing staff (to interactively decide on requirements), developers, management, and clients to understand current data, develop a plan for future data (especially with Hadoop), and visualize results. This is very "hands-on" position, dealing with data that has not been stored to date, but which requires advanced statistical and computational models to extract valuable insights.

A PhD in computer science, artificial intelligence, data mining, or statistics is required, with a strong background in statistical machine learning, Bayesian graphical models, text mining, ontologies, semantic search, social network mining, distributed computing, Hadoop/NoSQL/MapReduce (and related areas such as Pig, Hive, HBase).

Extensive programming experience is required, especially with Hadoop/MapReduce (including Pig Latin and Hive), Mahout, R, Python, Java. Knowledge of SQL and SAS is highly desirable.

The position requires strong communication skills, both to document the models developed and explain the ideas to marketing, product development, and senior management.

Apply online here


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