Lead Economist, Data Science Job Details | National Grid

About the Role

Key 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.
• Handle and analyze large complex data sets to derive insights and valuable results.
• Work independently with minimal guidance and communicate results to both internal and external stakeholders, presenting and defending findings.
• Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.
• Provide expert testimony before regulators and defend the forecasts. Respond to data requests from regulatory bodies for rate cases and other proceedings.
• Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis to meet their needs.
• Stay current in policies, regulatory requirements, market trends, and industry standards regarding customer energy use, technologies, and programs impacting that use.
• Research, implement, and deliver items that meet regulatory requirements such as Massachusetts Electric Sector Modernization Plans, New York climate plan, Distributed System Implementation Plan, etc.

Requirements

• A Bachelor’s degree (Master’s or PhD preferred) in economics, statistics, applied analytics, public policy, energy, environment or related field.
• 5 or more years of relevant industry experience in a regulated setting with direct interaction with regulators preferred.
• Demonstrated experience with policy forecasting or forecasting distributed resources (e.g., PV, electric vehicles, energy efficiency, demand response, electrification of heat) preferred.
• Expertise in econometrics or statistical forecasting or modeling preferred.
• Experience in energy load forecasting preferred.
• Good understanding of National Grid’s operations and the regulatory environment preferred.
• Strong written and verbal communication skills, including the ability to testify before regulators and respond to regulatory data requests.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Expertise in statistical programming software such as Python or R is required.
• Advanced SQL skills preferred.
• Experience with Git/Bitbucket, Azure, Databricks is preferred.
• Advanced Excel skills preferred.

Nice to Have

• Experience with energy load forecasting.
• Experience with Git/Bitbucket, Azure, Databricks.
• Advanced Excel skills.

Qualifications

• Bachelor’s degree (Master’s or PhD preferred) in relevant fields.
• 5+ years of industry experience in a regulated setting.

Benefits & Perks

• Salary ranges: Upstate, NY $133,000 - $157,000; Waltham, MA $150,000 - $176,000; Hicksville, NY $161,000 - $189,000 annually.
• Career advancement opportunities within and across bands as you develop and acquire new skills.
• National Grid is an equal opportunity employer that values diversity and fosters an inclusive culture.