Join NIST as a Lead Mathematical Statistician to integrate state-of-the-art statistical design and data science into the nation's measurement infrastructure. Collaborate within the Statistical Engineering Division, applying machine learning and advanced modeling to solve complex challenges in AI, semiconductors, materials research, and more. This notice is issued under direct-hire authority to recruit new talent to occupations for which NIST has a severe shortage of candidates.
Responsibilities
- As a ZP-IV Lead Mathematical Statistician, you will independently drive the planning and execution of NIST's state-of-the-art foundational and applied statistical core measurement services. You will serve as a technical expert, integrating advanced data science and machine learning into the nation's measurement infrastructure to support cutting-edge research across artificial intelligence, semiconductors, and communications technology. Strategic Oversight: Independently lead the planning, direction, and timely delivery of foundational and applied statistics core measurement services, including statistical design, modeling, and computing. Advanced Methodological Application: Utilize state-of-the-art data science models, machine learning, and spectral analysis to solve complex metrology challenges in AI, materials research, and semiconductors. Collaborative Research: Partner with NIST scientists to investigate and enhance the performance of existing measurement methods while spearheading the development of innovative new procedures. Initiate New Partnerships: Proactively identify opportunities for statistical methods to enhance scientific projects and establish formal collaborative research goals and objectives. Independent Innovation: Conduct high-level interdisciplinary research and manage software development projects to provide computational tools that support the broader NIST mission in statistical metrology. As a ZP-V Lead Mathematical Statistician, you will provide expert technical and professional leadership in the planning and execution of NIST's foundational and applied statistics services. In addition to conducting high-level interdisciplinary research, you will serve as a mentor to staff and a strategic partner to Division management, driving the development of new methodologies and ensuring that statistical initiatives align with Operating Unit (OU) and agency-wide goals. Strategic Technical Leadership: Independently oversee the planning, direction, and execution of state-of-the-art foundational and applied statistics to support core measurement service capabilities. Advanced Metrology Application: Lead the use of advanced data science, machine learning, and statistical modeling to address complex challenges in AI, semiconductors, and materials research. Scientific Collaboration & Innovation: Partner with NIST scientists to research and improve measurement methods and spearhead the development of new collaborative projects and objectives. Staff Mentoring & Development: Provide professional leadership by supporting the growth and mentoring of new staff members to build technical capacity within the Division. Service Delivery Improvement: Drive the development and implementation of innovative methods to improve the delivery of Division products and services. Mission & Agency Alignment: Collaborate with Division management to align statistical metrology research and software development with Division, OU, and agency-level strategic needs.
Education
This position has an education requirement. Transcripts must be submitted to validate that the education requirement has been met. Unofficial transcripts will be accepted in the application package. However, an official copy will be required before a final offer of employment. Use of foreign education for qualifications. An accredited organization must evaluate education completed outside of the U.S. to ensure that it is comparable to education received in accredited institutions in the U.S. Click here to view a listing of accredited organizations from the Department of Education's website. A copy of the foreign education evaluation (containing the results with a course-by-course listing) is required with your application.
