Summary
NIST works with industry and science to advance innovation and improve quality of life. We're looking for a Mathematical Statistician to join our team! This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates. This announcement will close at 11:59 p.m. Eastern Time on the date the first 150 applications are received or 06/26/2023, whichever comes first.
Duties
For ZP-3: This position will contribute as a statistical and computational consultant for collaborative research in measurement science for the Statistical Engineering Division at the National Institute of Standards and Technology. The position requires the fitting and assessment of different types of statistical models for inference using different statistical principles and computational methods; Data visualization, general applied statistical computation using modern statistical software, and the communication of complex statistical concepts to non-statistical scientific audiences also are required. Collaborative applied research in statistical experiment design, or in related subfields such as active learning, Bayesian optimization, or sequential design, is another major duty of this position. For ZP-4: This position will contribute as a statistical and computational expert for collaborative research in measurement science for the Statistical Engineering Division at the National Institute of Standards and Technology. The position requires identification of project opportunities and subsequent planning and implementation of their statistical aspects either formally, through proposal preparation, or informally. Other technical duties include the selection, fitting, and assessment of appropriate statistical models for statistical inference using different statistical principles and computational methods; Data visualization, general applied statistical computation using modern statistical software, and the communication of complex statistical concepts to non-statistical scientific audiences also are required. Collaborative applied research in statistical experiment design, or in related subfields such as active learning, Bayesian optimization, or sequential design, is another major duty of this position.
Qualifications
Basic Requirements: Degree: that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. For ZP-3: In addition to the above basic requirements: Applicants must have one year (52 weeks) of the specialized experience at the GS-9 level (ZP-II at NIST). Specialized experience is defined as This position requires experience in at least four of the following seven topics: 1. statistical experiment design, active learning, or Bayesian optimization; 2. exploratory data analysis and cleaning or preprocessing data for modeling; 3. development, fitting, and validation of linear, nonlinear, or hierarchical statistical models; 4. graphical visualization of analysis or modeling results; 5. statistical inference via hypothesis testing or construction of statistical intervals; 6. development of statistical software tools or packages for research or teaching; 7. communication of complex statistical concepts to non-experts. OR Master's or equivalent degree OR Combination of education and experience For ZP- 4: In addition to the above basic requirements, all applicants must have one year (52 weeks) of the specialized experience at the GS-12 level (ZP-III at NIST). Specialized experience is defined as This position requires specialized experience in at least two of the following: 1. Collaborative experience in the physical sciences or analogous areas of application as demonstrated through joint publications in the scientific or statistical literature; 2. Experience in statistical communication as demonstrated through publications in the statistical literature, conference presentations, authorship of statistics books or blogs, or formal teaching engagements (beyond any undergraduate or graduate training) to teach statistical topics at a school, college or university, through a tutoring service, at a conference, for a documentary standards developing organization, or streaming online; 3. Computing experience as demonstrated through publication of algorithms or code in the scientific or statistical literature, presentation of algorithms or code at a conference, or authorship of supplementary statistical software packages (e.g., an R, Python, or similar package) or stand-alone statistical software tools (e.g. JAGS, Stan, or similar tool). Experience refers to paid and unpaid experience, including volunteer work done. We will credit all qualifying volunteer experience in your application. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. Applicant Reconsideration
