Senior Forecaster, Data Science

About the Role

Key Responsibilities

• Develop long-term Electric Load Forecasts at the system and feeder level using econometric models, time series models, regression analysis, and machine learning models, as appropriate.
• Perform exploratory analysis of large complex data sets to derive insights and valuable actions.
• Ensure the forecasts properly account for distributed energy resources and new technologies and policies (e.g., energy efficiency, demand response, electrification of heat, PV, EV, etc.).
• Perform additional analysis relating to the forecast as necessary.
• Discover business narrative told by the data and be able to present them to peer data scientists, business stakeholders, and managers at various levels.
• Provide expert testimony before regulators and defend the forecasts.
• Respond to data requests from regulatory bodies for rate cases and other proceedings.
• Assist with code review and quality assurance activities.
• Document and archive models and scripts (e.g., using Git/Bitbucket) to enable ongoing support.
• Work independently and communicate effectively with internal and external stakeholders to present and defend results.
• Update forecast processes and documentation to ensure they are efficient, reviewable, and reliable.
• Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis.
• Stay current in policies, regulatory requirements, market trends, and industry standards regarding customer energy use and related technologies.
• Research, implement, and deliver items that meet regulatory requirements such as the 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, mathematics, applied analytics, operation research, meteorology, engineering, or related quantitatively rigorous field.
• Demonstrated experience with regression analysis, econometric models, or other forecasting modeling techniques.
• Expertise in statistical programming software such as Python, SAS, or R.
• Advanced SQL skills preferred.
• Experience with Git/Bitbucket, Azure, Databricks preferred.
• Advanced Excel skills preferred.
• Experience in energy forecasting, energy industry, or in a regulated setting with direct interaction with regulators preferred.
• Good understanding of National Grid's operations and regulatory environment preferred.
• Strong written and verbal communication skills, including the ability to testify before regulators and explain complex technical concepts to non-technical stakeholders.

Nice to Have

• Experience with policy or forecasting distributed resources (e.g., PV, EV, energy efficiency, demand response, electrification of heat).

Qualifications

• Bachelor's degree required; Master's or PhD preferred.
• Work experience in relevant fields may substitute formal education.

Benefits & Perks

• Salary range: Syracuse $116,000 - $136,000, Waltham $130,000 - $153,000, Hicksville $139,000 - $164,000 per year.
• Career advancement opportunities within and across bands as you develop and acquire new skills.