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SAS: Research Statistician Developer


Create innovative software to apply cutting-edge analytical techniques working with textual data from customer comments, social media, emails, and other sources.



SAS Company: SAS
Location: Cary, NC
Web: www.sas.com


Join the world's leading statistical software company and develop exciting new ways to analyze unstructured textual data!

As a member of the SAS Text Analytics development team, you will create innovative software to apply cutting-edge analytical techniques working with textual data from customer comments, social media, emails, and other sources. Duties include researching of statistical, machine learning, and computational linguistic algorithms; designing, developing, and maintaining software tools to enable customers to effectively understand textual data; authoring user documentation and other papers to communicate the best use of the software for text, presenting to professional audiences and to SAS staff in Testing, Technical Support, Education, and Marketing about the software, and performing other tasks as assigned.

Essential
  • Ph.D. in Computer Science, Machine Learning, Statistics, Computational Linguistics, or a related quantitative field.
  • Strong computer programming skills.

 
Additional
  • Strong mathematical skills, particularly linear algebra.
  • Excellent communication skills.
  • Minimal travel required to attend analytical conferences and occasional customer visits.

 
Preferences
  • Experience in research with sparse data; e.g. text, genomics, recommendations, weblog data.
  • Experience in computational linguistics or with text analytics.
  • Experience with distributing algorithms across machines to solve big data problems.
  • Strong understanding of Bayesian methods, or, alternatively, deep learning.
  • Extensive experience with C language programming.
  • Experience with commercial software development.
  • Experience with the SAS system.

 
_Contact_:
Apply online here,

Search for Keyword: Research Statistician Developer,
or Job Number: 20002395.

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