Work independently and collaboratively on analytical, programming, modelling, and data management activitiesMap out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutionsLeverage a curious mindset, initiative, and "elbow grease" to enhance existing processes, and to innovate new forecasting methods, tools, and softwareCommunicate complex, technical content to a diverse audience through written reports and presentationsApply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizationsStay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically. Bachelor's degree in Economics, Mathematics, Engineering, Operations Research, or a related field3+ years of experience in the energy industry in forecasting, data analytics, or equivalentProficiency in at least one advanced programming language such as Python, R, MATLAB, or SASHands-on experience developing software in a collaborative team environmentExperience working with big data, geospatial analytics, and/or probabilistic forecastingExperience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging).5+ years of relevant experience is required to be considered for a senior-level position.