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Operations Research & Modeling Analyst
Job in
Portland, Multnomah County, Oregon, 97228, USA
Listed on 2026-03-04
Listing for:
Department Of Energy
Full Time
position Listed on 2026-03-04
Job specializations:
-
Software Development
Data Scientist, Data Science Manager
Job Description & How to Apply Below
This position is within the Bonneville Power Administration (BPA), in Power Services (P). In this critical role, you will apply your quantitative skills to solve complex challenges, formulate data-driven strategies, and significantly influence critical power services, transmission, or river operations functions.
Key Responsibilities:
* Lead Strategic Analytical Initiatives:
Drive high-impact projects from conceptualization and research through rigorous data analysis, mathematical formulation, and the delivery of insightful, actionable conclusions.
* Engineer Advanced Mathematical Models:
Design, develop, and apply sophisticated modeling techniques and/or mathematical algorithms to optimize operations and support critical decision-making.
* Conduct Dynamic Computer Simulations:
Create and execute complex computer simulations to explore various scenarios, forecast trends, and evaluate the potential impact of different strategies.
* Perform Deep Quantitative Data Analysis:
Leverage advanced probability, statistics, and trend analysis to uncover nuanced patterns and critical insights from large and diverse datasets.
* Pioneer Innovative Methods and Policies:
Develop and propose novel analytical methods, criteria, and new policies or practices that enhance organizational effectiveness and adapt to evolving needs.
* Automate Analysis with Custom Software:
Utilize technology, AI, and script development within typical and/or niche software to streamline analytical processes and improve efficiency across various functions.
* Influence Stakeholders with Clear Communication:
Articulate and defend complex analytical findings, recommendations, and potentially sensitive issues through briefings and comprehensive reports to diverse audiences.
* Continuously Enhance Analytical Frameworks:
Proactively modify and adapt established analytical methodologies to ensure ongoing relevance, accuracy, and support for dynamic organizational objectives.
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