What are the responsibilities and job description for the Mathematical Statistician position at National Institute of Standards and Technology (NIST)?
Summary
NIST is looking for a visionary Statistical Metrologist to push the boundaries of measurement science. In this role, you won't just analyze data, you will advance the state-of-the-art in foundational and applied statistics to support the very core of the NIST mission. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.
Duties
As a Statistical Metrologist, you will drive innovation in measurement science by advancing both foundational and applied statistical methodologies. You will serve as a technical expert, applying cutting-edge data science and machine learning techniques to solve complex metrology challenges across emerging fields such as artificial intelligence, semiconductors, and advanced communications. In this role, you will: Develop state-of-the-art foundational and applied statistical designs, modeling techniques, and computing strategies to enhance NIST's core measurement service capabilities. Apply high-level data science models and machine learning methods to address metrological challenges in critical areas, including spectral analysis, materials research, communications technology, and semiconductor development. Partner with NIST researchers to evaluate the performance of existing measurement methods and lead the development of innovative, next-generation metrology solutions. Provide essential statistical support for NIST's measurement and calibration services through the development of standard reference materials, the coordination of inter-laboratory studies, and the execution of key comparisons. Drive Technical Innovation: Conduct independent or collaborative statistical research and lead software development initiatives specifically tailored to statistical metrology to advance the broader NIST mission.
Qualifications
Basic Requirements: A. 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 B. 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. In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience equivalent to at least the GS-9 level (ZP-II at NIST). Specialized experience is defined as: Experience in statistical experiment design and the development and validation of linear, nonlinear, Bayesian, machine learning, artificial intelligence (including neural networks and uncertainty characterization), or hierarchical models. Experience in exploratory data analysis, preprocessing complex datasets, and creating graphical visualizations to communicate results. Experience with statistical inference (hypothesis testing/intervals) and the development of software tools or packages for research applications. OR Master's or equivalent degree OR A combination of education and experience Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. If requesting reconsideration of your qualification determination, please refer to the following site: Applicant Reconsideration
NIST is looking for a visionary Statistical Metrologist to push the boundaries of measurement science. In this role, you won't just analyze data, you will advance the state-of-the-art in foundational and applied statistics to support the very core of the NIST mission. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.
Duties
As a Statistical Metrologist, you will drive innovation in measurement science by advancing both foundational and applied statistical methodologies. You will serve as a technical expert, applying cutting-edge data science and machine learning techniques to solve complex metrology challenges across emerging fields such as artificial intelligence, semiconductors, and advanced communications. In this role, you will: Develop state-of-the-art foundational and applied statistical designs, modeling techniques, and computing strategies to enhance NIST's core measurement service capabilities. Apply high-level data science models and machine learning methods to address metrological challenges in critical areas, including spectral analysis, materials research, communications technology, and semiconductor development. Partner with NIST researchers to evaluate the performance of existing measurement methods and lead the development of innovative, next-generation metrology solutions. Provide essential statistical support for NIST's measurement and calibration services through the development of standard reference materials, the coordination of inter-laboratory studies, and the execution of key comparisons. Drive Technical Innovation: Conduct independent or collaborative statistical research and lead software development initiatives specifically tailored to statistical metrology to advance the broader NIST mission.
Qualifications
Basic Requirements: A. 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 B. 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. In addition to the above basic requirements, applicants must have one year (52 weeks) of specialized experience equivalent to at least the GS-9 level (ZP-II at NIST). Specialized experience is defined as: Experience in statistical experiment design and the development and validation of linear, nonlinear, Bayesian, machine learning, artificial intelligence (including neural networks and uncertainty characterization), or hierarchical models. Experience in exploratory data analysis, preprocessing complex datasets, and creating graphical visualizations to communicate results. Experience with statistical inference (hypothesis testing/intervals) and the development of software tools or packages for research applications. OR Master's or equivalent degree OR A combination of education and experience Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. The qualification requirements in this vacancy announcement are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook. If requesting reconsideration of your qualification determination, please refer to the following site: Applicant Reconsideration