JMP, a subsidiary of SAS, is committed to empowering scientists and engineers via our world-class family of statistical software products. For over 35 years, JMP has enabled customers to speed new drugs to market, to design better products and processes, and to figure out how to restore ecosystems. Advancements are made when brilliant people use JMP statistical discovery software to see what they’ve not seen before. If you are a problem solver, a connector, and someone who enjoys helping others, then you might just be the next person to join this dynamic, growing, and global team.
About the job:
JMP is searching for a Research Statistician Developer to join our development team!
As a Research Statistician Developer you will:
- Design, develop, and maintain software for new and existing JMP products, with a focus on classification and regression trees, clustering, and other core statistical applications.
- Collaborate with other statisticians and developers to implement statistical methods into high-quality production software.
- Participate in technical discussions with users and internal teams to refine product features.
- Work closely with testing, documentation, and product management teams to ensure high-quality releases.
- Promote newly developed software by giving presentations at user meetings and user conferences.
Required qualifications:
- PhD in Statistics, Mathematics, Computer Science, Industrial Engineering, or a related field.
- Knowledge of statistical methods in areas such as classification and regression trees, clustering, generalized linear models, multivariate statistics, etc.
- Strong programming skills and experience implementing statistical algorithms.
- Experience using R, Python, JSL, Matlab or SAS.
- Excellent communication skills and ability to work in a cross-functional team.