Job Description

Mathematical Statistician

The Department of Energy's mission is to ensure America's security and prosperity by addressing its energy, environmental and nuclear challenges through transformative science and technology solutions. The Energy Information Administration office works to collect, analyze, and disseminate independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. EIA conducts a comprehensive data collection program that covers the full spectrum of energy sources, end uses, and energy flows. EIA also prepares informative energy analyses, monthly short-term forecasts of energy market trends, and long-term U.S. and international energy outlooks. We are truly honored that DOE has been named America's #1 Best Employer for Veterans in 2023 by Forbes-not only among Government agencies, but among employers across the U.S. We are so proud of this ranking which reflects our commitment to the employment of veterans. As so many veterans at DOE renew their service to our Nation, we are deeply committed to their success and advancement. Veterans shape the future of energy As a Mathematical Statistician, you will:

1. Develop and document advanced statistical forecasting tools to project energy market dynamics, including pricing, supply, and distribution patterns.
2. Provide senior officials with recommendations for analyzing and interpreting complex or incomplete data.
3. Review and verify the mathematical and statistical methods used in energy program studies to ensure results are valid, accurate, and reliable.
4. Assess mathematical and statistical methodologies applied to energy program studies to ensure findings are accurate, valid, and reliable.
5. Coordinate nationwide statistical studies, manage vendor performance, and brief stakeholders on project progress and outcomes.
6. Develop and adapt innovative mathematical and statistical methodologies to address complex analytical challenges.

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