Research Statistician Tester (remote / hybrid)

Research Statistician Tester (remote / hybrid)Requisition ID 20067143 Primary Location - Country United States Visa Sponsorship No Travel Requirements Up to 25%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.We are hiring a Research Statistician Tester to support our growing development teams!As a JMP Research Statistician Tester you will :Work directly with Research Statistician Developers to independently validate the numerical accuracy of statistical algorithms in various statistical platforms during the software development life cycle.Ensure the quality and functionality of software that is used to make critical decisions by engineers and scientists around the world.Consume technical and scientific literature, maintain statistical test code, and participate in the statistical documentation review process.Understand the needs of JMP's user base and give usability feedback to make data-based analytical problem solving accessible to a wide audience.Engage in independent and collaborative research to support software development, enable user engagement, and demonstrate JMP's statistical capabilities, which may be presented internally and / or externally.Stay current with upcoming and maturing technologies within JMP and across the industry.Required qualifications :PhD / MS in Statistics or a related quantitative field such as Mathematics, Industrial Engineering, Software Engineering, etc.Knowledge of statistical methods in areas such as linear and nonlinear models, multivariate statistics, statistical quality control, data management and screening methods, etc.Experience using JSL, R, SAS, or Python programming languages at an intermediate to advanced level.PreferencesIn addition to a broad statistical background, training or experience in any of the following is also considered but not required :Time Series, Statistical Quality Control, Reliability, Bayesian Methods, Machine Learning, Optimization, and Design of Experiments (DOE).Additional :Ability to work in a team environment and collaborate with other members in Statistical Research and Development including developers, testers, and writers.Ability to conduct independent research and testing, gather and synthesize information from multiple sources, and provide constructive feedback to the development team.Ability to learn new statistical programming languages as needed.Ability to take ownership of the statistical areas you are responsible for and independently ensure their quality has been assessed.Ability to adapt to changing priorities and software development deadlines.Strong verbal and written communication skills.Strong time management and organizational skills.World-class benefitsHighlights includeComprehensive medical, prescription, dental and vision plans.Medical plan options include :PPO with low annual deductible and copays.HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan.There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!An industry-leading 401k plan.Tuition Assistance Program and programs and resources to support your developmentGenerous time away including vacation time, a variety of paid holidays, and our much-loved U.S.Winter Wellness Break between December 25 and January 1.Volunteer Time Off, parental leave and unlimited paid sick days.Generous childcare benefits for all full-time employees.You are welcome here.At SAS and JMP, it's not about fitting into our culture - it's about adding to it.We believe our people make the difference.Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers..