SAS

  • Staff Scientist, Network Algorithms

    Job Locations US-NC-Cary
    Requisition ID
    20022009
    Category
    Research and Development
    Visa Sponsorship
    Yes
    Travel Requirements
    None
  • Overview

    As an R&D staff member in the network algorithms group in the Advanced Analytics R&D division at SAS, you will work on software implementations of graph and network algorithms and related computational engines, with a focus on applications to Social network analysis, fraud detection and security applications. Duties include extending existing software and implementing new algorithms; keeping up with the latest literature and conducting research needed to develop new methodology as necessary; documenting new features and methods; providing support to end users and internal customers.

     

    Qualifications

     

    Essential 

    • PHD. degree in computer science, applied mathematics or a related mathematical discipline of the sciences or engineering
    • Strong programming skills and experience in a low level language like C, C++ or Java.

     Additional

    • Research level analytical domain expertise as evidenced by publications and conference presentations
    • Strong oral as well as written communication skills
    • Experience with implementations of large scale numerical and/or network algorithms.

     Preferences

    • Experience with network algorithms software and graph databases.
    • Experience with social network analysis and fraud detection applications.
    • Experience with parallel computation
    • Broad knowledge of machine learning techniques and applications

     

    SAS looks not only for the right skills, but also for a cultural fit. We seek colleagues who will contribute to the unique culture that makes SAS such a great place to work. We look for the total candidate: technical skills, culture fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.

     

    Additional Information:

    To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.

    SAS is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

    The level of this position will be determined based on the applicant's education, skills and experience.

    Resumes may be considered in the order they are received.

    SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

     

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