Lead Data Scientist, Electric Load Forecasting

Key Skills

Effective communication skills, Machine learning techniques, Python Programming, R Programming, SAS

Job Description

About us

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.

National Grid is hiring a Lead Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office.

Job Purpose

The Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Lead Data Scientist of Electric Load Forecasting, you will develop long-term electric load forecasts at the system and feeder level. You will integrate distributed resource forecasts (including solar PV, energy efficiency, demand response, EVs, storage) for our US service territory. You will support internal stakeholders including Supply, Engineering, Regulatory, Strategy, Finance and others. You will ensure the forecasts incorporate new distributed energy resources, technologies, and policies. 

Key Accountabilities

• Develop long-term Electric Load Forecasts at the system and feeder level using econometric regression, time series, and machine learning models as appropriate. Perform additional analysis relating to the forecast as necessary.

• 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 exploratory analysis of large complex data sets to derive insights and valuable actions
• 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 request from regulatory bodies for rate cases and other proceedings.
• Assist with code review and quality assurance activities.
• Document and archive models and scrips (e.g., using Git/Bitbucket) to enable ongoing support.
• The position of Lead 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 persons to present projects is essential.
• 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 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.

Qualifications

• A Bachelor’s degree (Master’s or PhD preferred) in statistics, mathematics, applied analytics, operation research, economics, engineering, or related quantitatively rigorous field.

• Demonstrated experience with econometric or statistical forecasting or modelling required.
• Expertise in statistical programming software such as Python, SAS, R required.
• Advanced SQL skills preferred
• 5 or more years of relevant energy industry experience in a regulated setting with direct interaction with regulators preferred.

Experience in energy load forecasting preferred.

• Good understanding of National Grid’s operations and the regulatory environment preferred.
• Experience with policy or forecasting distributed resources (e.g. PV, EV, energy efficiency, demand response, electrification of heat, etc.) 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.
• Experiences with Git/Bitbucket, Azure is preferred.
• Advanced Excel skills preferred.

More Information

Salary

Downstate NY: $142k - $167k a year

New England: $133k - $156k a year