SAS

  • Research Statistician Developer - Bayesian Econometrics Specialist

    Job Locations US-NC-Cary
    Requisition ID
    20023467
    Category
    Research and Development
    Visa Sponsorship
    Yes
    Travel Requirements
    None
  • Overview

    Join the world's leading statistical software company and make a difference in the way that economic research is practiced!  SAS is expanding its econometric and time series modeling capabilities and is hiring research and development staff to accelerate this exciting effort.

     

    As a member of the SAS/ETS software development team, you will create innovative software to apply cutting-edge econometric models, with a focus on Bayesian methods using MCMC-type algorithms. Duties include researching of statistical methodology and computational algorithms; designing of software tools for economic modeling; programming and testing of modules; guiding junior developers in performance of supporting programming tasks; authoring user documentation and papers to communicate the best use of the software for economic analysis; presenting to professional audiences about the product and analytical methods; communicating with other SAS professional staff in Testing, Technical Support, Education, Marketing, and other departments; and performing other tasks as assigned.

     

    Essential Qualifications:

    • Ph.D. in Econometrics, Statistics, or a related quantitative field.
    • 1 year of experience in econometric or statistical research (which may include Ph.D. dissertation research)
    • Computer programming experience.
    • Expertise in Bayesian statistical methods.

    Additional:

    • Very strong mathematical skills.
    • Excellent communication skills.
    • Minimal travel required to attend statistical conferences and occasional customer visits.

    Preferences:

    • Advanced theoretical training or research in Bayesian methods in econometrics or time series modeling, including the use of MCMC and related algorithms.
    • Advanced expertise in design of sampler algorithms (Hamiltonian Monte Carlo, Parallel and approximate MCMC for large data sets, particle MCMC, etc.) tailored for optimal efficiency for fitting particular classes of statistical models.
    • Experience in applied Bayesian data analysis, particularly with applied econometric and time series modeling.
    • Extensive training in economic theory.
    • Extensive experience with C language programming.
    • Experience with commercial software development.
    • Experience with the SAS system.
    • Experience with other statistical software products, such as Stan, WinBugs, R, Stata, or EViews.

    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:

    Equivalent combination of education, training and experience can be considered in place of the above qualifications. 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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