Senior Data Scientist, Data Science

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 Senior Data Scientist for Electric Load Forecasting. This position can be based out of Waltham, MA or Hicksville, NY office.

The Load Forecasting & Analytics team produces electric and gas forecasts for National Grid. As a Senior Data Scientist of Electric Load Forecasting, you will develop long-term electric load forecasts at the system and distribution feeder level. You will integrate distributed resource, demand-side management, and electrification load forecasts (including solar PV, energy efficiency, demand response, electric vehicles, storage, etc.) 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.

• 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 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 senior requires the ability to work independently 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.

• Bachelor's degree (Master's or PhD preferred) in economics, statistics, mathematics, applied analytics, operation research, 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
• Experience in energy forecasting, energy related industry, or in a regulated setting with direct interaction with regulators 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.
• 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.

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