This is an Interdisciplinary Science Analyst position within the National Science Foundation. This interdisciplinary position involves duties and responsibilities closely related to more than one professional occupation: 0110, 1529, and 1530. As a result, the position is classifiable to any of the occupational series shown, and the nature of the work is such that persons with education and experience in any of these professions may be considered equally well qualified to do the work.

Duties

As one of the 13 principal federal statistical agencies, NCSES follows guiding principles and practices that ensure it provides accurate, timely, relevant, and objective information for public and policy use. This position provides leadership in science and technology policy analysis program, which produces two congressionally mandated report series-Science and Engineering Indicators and STEM and Diversity: Women, Minorities, and Persons with Disabilities. In addition, the program produces other analyses on a broad range of topics related to science and technology in the United States and the world. This incumbent of this position will represent NCSES and NSF widely within the federal government and research community and works closely with the National Science Board. This incumbent of this position will work across NCSES to produce cohesive products that uphold the standards of NCSES's role as a principal statistical agency including accuracy, timeliness, and transparency while being policy relevant and objective. The incumbent of this position plays a key role in producing rigorous policy-relevant analytic products that inform decision-making that shapes the science and engineering ecosystem in the United States. As an Interdisciplinary Science Analyst, you will perform the following duties: Serves as a senior expert to National Center for Science and Engineering Statistics (NCSES) leadership and other senior officials. Develops new and innovative approaches to respond to emerging data needs and provide information to be used for evaluation, research, planning, and policy efforts. Develops models, forecasts, and visualizations to demonstrate patterns identified and highlight indicators. Develops and monitors the application of a diverse set of models, tools, risk, and decision science techniques, mathematics, statistics, computer, and information sciences, economics, and related fields (e.g., quantitative policy analysis, engineering, etc.) to develop and enhance NSF analytic capabilities. Leads or assists with planning and conducting multi-year projects that must meet multiple objectives of data users or project funders. In addition, the incumbent prepares and processes Requests for Proposals (RFPs) and awards and manages projects under contract in conformance with NCSES, NSF, and Federal procurement regulations and policy. Develops data projects with national impact, and is responsible for the full lifecycle of projects, from concept to final model reports. Prepares reports, presentations, outreach materials, and briefings that convey findings to NSF leadership and other stakeholders and audiences through the creation and presentation of professional documents. Brief NCSES leadership or other senior officials on the progress and conclusion of studies. Facilitates NCSES-wide task groups and cross-program projects and often leads such projects, teams, or programs. Represents assigned Program area, NCSES, and NSF in areas of assigned responsibilities at professional meetings, conferences, and visits to industrial, academic, Federal, or non-profit organizations both within and outside of the U.S. Performs reproducible, robust data analytics, and conducts statistical analysis, modeling, and simulation. Develops analytical approaches and analyzes data sets consisting of qualitative, quantitative, structured, and unstructured data types using advanced techniques. Analyzes data and information to develop accurate results and synthesizes and interprets results to produce complex analytical written products to inform decision makers. Develops data projects with national impact, and is responsible for the full lifecycle of projects, from concept to final reports. Prepares reports, presentations, outreach materials, and briefings that convey findings to NSF leadership and other stakeholders and audiences through the creation and presentation of professional documents such as PowerPoint presentations and white papers. Communicates findings from studies, evaluations, and research projects to the public, other federal government agencies and user groups. Plans, directs, coordinates, and writes cogent, concise, and technically curate publications, briefs, working papers, information graphics, other publications, and association and journal articles to inform policy decisions. Serves as a subject matter expert on workforce and/or enterprise data related to the science and engineering ecosystem. Identifies appropriate sources of authoritative data and information; applies rigorous methods to analyze data and information to develop accurate results; synthesizes and interprets results to produce complex analytical written products to inform decision makers. Writes in a clear, concise, organized, and convincing manner for the intended audience.

Requirements

Qualifications

Basic Education Requirements Depending on the professional occupation that you want to be considered for, to qualify you must meet at least one of the following basic education and/or experience requirements:GS-0110 (Economist) Degree: economics, that included at least 21 semester hours in economics and 3 semester hours in statistics, accounting, or calculus. OR Combination of education and experience: courses equivalent to a major in economics, as shown in A above, plus appropriate experience or additional education. GS-1529 (Mathematical Statistician): 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. GS-1530 (Statistics): Degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. OR Combination of education and experience -- courses as shown above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance. In addition to meeting the basic education and/or experience requirements described above, you must also meet the following specialized experience. To qualify at the GS-14 level, you must have one year of specialized experience equivalent to the GS-13 Level in federal service planning, conducting, and/or leading projects that apply principles in the fields of statistics, economics, social science, data science and/or other relevant disciplines to inform statistical methods and standards, data dissemination, data user needs, data management, and/or innovative technologies or techniques related to data use, sharing, and dissemination.Experience refers to paid/unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) & other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, & skills & can provide valuable training/experience that translates directly to paid work. You will receive credit for all qualifying experience, including volunteer experience.

Education

You must meet the minimum education requirements as described in "Qualifications."

You must submit transcripts that verifies that you meet the educational requirements.

Contacts

• Address NATIONAL SCIENCE FOUNDATION, NATIONAL CENTER FOR SCIENCE AND ENGINEERING STATS 2415 Eisenhower Ave Alexandria, VA 22314 US
• Name: Staffing and Classification Branch
• Email: [email protected]