US Government Other Agencies and Independent Organizations - Washington, VA

posted 16 days ago

Full-time - Mid Level
Washington, VA
National Security and International Affairs

About the position

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.

Responsibilities

  • 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 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.
  • 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.
  • 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.
  • 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.
  • 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 accurate publications, briefs, working papers, information graphics, and other publications 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.

Requirements

  • You must be a US citizen.
  • Selectee will be required to have a background investigation prior to onboarding.
  • Selectee may be required to serve a 1-year trial/probationary period.
  • You must meet eligibility & qualification requirements within 30 days of the closing date.
  • You must answer all job-related questions in the NSF eRecruit questionnaire & any external assessment that is included.
  • You must submit transcripts that verify that you meet the educational requirements.

Benefits

  • Comprehensive benefits package as a federal employee.
  • Access to a range of benefits designed to make your federal career rewarding.
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