SAS

Research Statistician Tester, JMP

US-NC-Cary
Requisition ID
20020270
Category
Information Technology
Visa Sponsorship
No
Travel Requirements
None

Overview

Germany SAS

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.

 

About the Role:

As a JMP Research Statistician Tester and member of the JMP Research and Development team, you will work directly with developers to validate statistical features of JMP. Duties will include testing the numerical accuracy of statistical algorithms during the development life cycle; ensuring quality and functionality of software code that is used to make critical decisions; understanding the needs of JMP's customer base and giving usability feedback in order to make data-based analytical problem solving accessible to a wide audience; researching technical literature; writing and maintaining test scripts and participating in the documentation review process.

 

Essential

  • MS/PhD degree in Statistics, Mathematics or a related quantitative field
  • Knowledge of experimental design, predictive modeling and regression analysis

Additional

  • Ability to think analytically and to effectively communicate problems and suggest fixes
  • Ability to conduct independent research, gathering information from multiple sources and communicate recommendations to the development team
  • Ability to give specific, constructive feedback and exert positive influence
  • Ability to work in a team environment, collaborating with other testers, developers, documentation staff members as well as technical support
  • Ability to demonstrate flexibility in adapting to changing priorities and deadlines.
  • Excellent verbal and written communication skills
  • Excellent time management and organizational skills

Preferences

  • Familiarity with topics in optimal design of experiments or combinatorial design of experiments; time series and functional data analysis; multivariate statistical analysis
  • Familiarity with machine learning algorithms
  • Experience using R, Python, Julia, Matlab, or SAS programming languages
  • Knowledge of software testing techniques and the use of automation tools 
  • Basic programming skills

Our Culture:

 

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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