National Grid is looking to develop long-term forecasts for demand-side management (DSM) programs, distributed energy resources (DERs), and the electrification of heat and transportation. This involves modeling the impact of various decarbonization policy pathways on energy consumption and peak demand.
Requirements
- Expertise in econometrics or statistical forecasting or modelling preferred.
- Experience in energy load forecasting preferred.
- Expertise in statistical programming software such as Python, or R is required.
- Advanced SQL skills preferred.
- Experiences with Git/Bitbucket, Azure, Databricks is preferred.
- Advanced Excel skills preferred.
- Demonstrated experience with policy forecasting or forecasting distributed resources (e.g. PV, electric vehicles, energy efficiency, demand response, electrification of heat, etc.) preferred.
Responsibilities
- Use appropriate econometrics, statistical and/or data science tools as well as policy understanding to develop long-term forecasts for demand side management programs like energy efficiency and demand response, distributed generation, and storage, building and vehicle electrification, and public policies at system, zonal and feeder level granularity, and create long-term scenarios for policy based decarbonization goals.
- Perform additional analysis relating to DERs, DSM, and decarbonization policies in the forecast as necessary.
- Work with the electric and gas forecasting teams to ensure the electric and gas load forecasts properly account for the impact of distributed energy resources, demand side management programs and any other load modifiers based on new technologies and policies.
- Ability to handle and analyze large complex data sets to derive insights and valuable results.
- Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.
- Provide expert testimony before regulators and defend the forecasts.
- Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.
Other
- The position of Lead Data Scientist requires the ability to work independently with minimal guidance and communicate to both internal and external stakeholders to present and defend results.
- The ability to speak to both technical and non-technical audiences to present projects is essential.
- Respond to data request from regulatory bodies for rate cases and other proceedings.
- Stay current in all policies, regulatory requirements, market trends, and industry standards regarding customer energy use and technologies and programs impacting that use, such as energy efficiency and demand response.
- Work on researching, implementing, and delivering of items that meet regulatory requirements including the Massachusetts Electric Sector Modernization Plans, meeting the the New York climate plan, Distributed System Implementation Plan, etc.
