Data Scientist & Forecasting

• A Bachelor’s degree (Master’s or PhD preferred) in statistics, applied analytics, engineering or related quantitatively rigorous field.
• Supervisory/Interpersonal Experience Required
• 5 or more years of relevant energy industry experience in a regulated setting with direct interaction with regulators preferred.
• Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) preferred.
• Demonstrated experience with econometric or statistical forecasting or modelling 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 R, SAS, Python preferred.
• advanced Excel skills required.

Overview

• Develop long-term forecasts for distributed resources (including solar PV, energy efficiency, demand response, EVs, storage, etc.), and create long-term outlooks 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 distributed energy resources and new technologies and policies.
• The position of Senior 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.
• 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 request from regulatory bodies for rate cases and other proceedings.
• Collaborate with internal stakeholders (including supply, engineering, regulatory, strategy) regarding forecast methodology and analysis and ensure our deliverables meet their needs.
• 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.

Job Type: Full-time

Pay: $123,311.00 - $131,536.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible schedule
• Health insurance
• Health savings account
• Life insurance
• Parental leave
• Professional development assistance
• Referral program
• Retirement plan
• Vision insurance

Schedule:

• 8 hour shift
• Day shift
• Monday to Friday
• No nights
• No weekends

Ability to commute/relocate:

• Waltham, MA: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Education:

• Bachelor's (Required)

Experience:

• Python: 3 years (Required)
• SAS: 3 years (Required)
• Forecasting: 3 years (Required)
• R: 2 years (Required)

Work Location: One location