JOE - May 2014
| SAS Institute | |
| Research Stastician Developer | |
| Position Title/Short Description |
Title: Research Stastician Developer
Section: 5 -- Full-Time Nonacademic
Location: Cary, NC, USA
JEL Classification: O3 -- Technological Change; Research and Development; Intellectual Property Rights
Deadline Date: 06/2014
JOE ID Number: 201405_400393
Section: 5 -- Full-Time Nonacademic
Location: Cary, NC, USA
JEL Classification: O3 -- Technological Change; Research and Development; Intellectual Property Rights
Deadline Date: 06/2014
JOE ID Number: 201405_400393
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| Full Text of JOE Listing: |
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 and time series methods. Duties include researching of statistical methodology and computational algorithms; designing of software tools for economic modeling; programming and testing of modules; 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:
-- Ph.D. in Econometrics, Statistics, or a related quantitative field.
-- 1 year of experience in econometrics or statistical methods research (which may include Ph.D. dissertation research).
-- Strong computer programming skills.
Additional:
-- Very strong mathematical skills.
-- Excellent communication skills.
-- Minimal travel required to attend statistical conferences and occasional customer visits.
Preferences:
-- Excellent training in economic theory.
-- Experience in applied data analysis with emphasis on panel data methods, including error component modeling with balanced and unbalanced panels, dynamic panel data models, nonstationary panels and factor models.
-- Advanced training or research in the area of panel data econometrics.
-- Extensive experience with C language programming.
-- Experience with commercial software development.
-- Experience with the SAS system.
-- Experience with other statistical software products, such as Stata, EViews, R, or MATLAB.
As a member of the SAS/ETS software development team, you will create innovative software to apply cutting-edge econometric and time series methods. Duties include researching of statistical methodology and computational algorithms; designing of software tools for economic modeling; programming and testing of modules; 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:
-- Ph.D. in Econometrics, Statistics, or a related quantitative field.
-- 1 year of experience in econometrics or statistical methods research (which may include Ph.D. dissertation research).
-- Strong computer programming skills.
Additional:
-- Very strong mathematical skills.
-- Excellent communication skills.
-- Minimal travel required to attend statistical conferences and occasional customer visits.
Preferences:
-- Excellent training in economic theory.
-- Experience in applied data analysis with emphasis on panel data methods, including error component modeling with balanced and unbalanced panels, dynamic panel data models, nonstationary panels and factor models.
-- Advanced training or research in the area of panel data econometrics.
-- Extensive experience with C language programming.
-- Experience with commercial software development.
-- Experience with the SAS system.
-- Experience with other statistical software products, such as Stata, EViews, R, or MATLAB.
| Application Instructions: |
Interested PhD candidates will need to apply online at http://www.sas.com/jobs/USjobs/ for position #20002343
Email for Applications: ginny.robbins@sas.com
For more information, email: ginny.robbins@sas.com
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