Job ID: 20017444
Job date: 2017-05-27
End Date:
Company : SAS Institute Country : Role : Research Scientist
Job date: 2017-05-27
End Date:
Company : SAS Institute Country : Role : Research Scientist
Job Description:
Join the world's leading statistical software company and make a difference in the practice of statistics and data science! SAS is looking for a developer with a strong statistical background and excellent programming skills to develop state-of-the-art software for regression analysis of complex, high-dimensional data. In this position, you will implement specialized methods in new and existing SAS software. You will keep up with the forefront of statistical learning, identify appropriate regression modeling techniques for implementation, and program these methods in C. You will also test and document the software and present it to professional statistical audiences. Essential Qualifications: -PhD in statistics, computer science, bioinformatics, operations research, numerical analysis, applied mathematics, physics, or a related field -Strong background in statistical and machine learning methods for building regression models and analyzing high-dimensional data -Experience writing large, complex programs in C, C++, Java, FORTRAN, or a similar scientific programming language Additional Qualifications: -Excellent written and verbal communication skills -Strong background in statistical computing Preferences: -Experience developing commercial-quality software -In-depth knowledge of numerical linear algebra and optimization methods used in statistical computing -Experience with parallel computing in shared/distributed memory environments and GPU programming -Experience in modern computationally intensive methods such as: post-selection inference, nonparametric and semiparametric regression analysis, penalized regression modeling including the Lasso and its generalizations, generalized additive models
Additional Info:
About SAS: SAS believes in the whole employee experience. Meaningful work. Empowerment to make a difference that changes people’s lives. Dynamic work environments that foster innovation. And an award-winning culture that makes it all possible. We believe great ideas can come from anywhere. Whether you're a university recruit, or an experienced professional ready for the next big challenge, SAS brings perks, passion, and the potential to grow. No limits. 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.[Click Here to Access the Original Job Post]
Join the world's leading statistical software company and make a difference in the practice of statistics and data science! SAS is looking for a developer with a strong statistical background and excellent programming skills to develop state-of-the-art software for regression analysis of complex, high-dimensional data. In this position, you will implement specialized methods in new and existing SAS software. You will keep up with the forefront of statistical learning, identify appropriate regression modeling techniques for implementation, and program these methods in C. You will also test and document the software and present it to professional statistical audiences. Essential Qualifications: -PhD in statistics, computer science, bioinformatics, operations research, numerical analysis, applied mathematics, physics, or a related field -Strong background in statistical and machine learning methods for building regression models and analyzing high-dimensional data -Experience writing large, complex programs in C, C++, Java, FORTRAN, or a similar scientific programming language Additional Qualifications: -Excellent written and verbal communication skills -Strong background in statistical computing Preferences: -Experience developing commercial-quality software -In-depth knowledge of numerical linear algebra and optimization methods used in statistical computing -Experience with parallel computing in shared/distributed memory environments and GPU programming -Experience in modern computationally intensive methods such as: post-selection inference, nonparametric and semiparametric regression analysis, penalized regression modeling including the Lasso and its generalizations, generalized additive models
Requeriments :
Skills :
- Machine Learning
- Parallel Computing
- Programing in C
- Programing in C++
- Programing Skills
- Programming in Java
- Statistics
Areas :
Additional Info:
About SAS: SAS believes in the whole employee experience. Meaningful work. Empowerment to make a difference that changes people’s lives. Dynamic work environments that foster innovation. And an award-winning culture that makes it all possible. We believe great ideas can come from anywhere. Whether you're a university recruit, or an experienced professional ready for the next big challenge, SAS brings perks, passion, and the potential to grow. No limits. 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.[Click Here to Access the Original Job Post]