Hybrid Lead Data Scientist, Electric Load Forecasting

Posted 3 weeks ago

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About the role

  • 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.
  • Take responsibility for forecasts and tools associated with the creation of the forecasts.
  • 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.
  • Participate in regulatory proceedings and provide expert testimony.
  • Communicate forecasts and implications to senior leadership at the Company.
  • Engage with external stakeholders, state, and city representatives.

Requirements

  • 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
  • 8 years of experience including relevant energy industry experience in a regulated setting with direct interaction with regulators preferred.
  • Experience in energy load forecasting preferred.
  • Good understanding of Utility operations and 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.

Benefits

  • Eversource offers a competitive total rewards program.
  • Check out our careers site for an overview of our benefits programs.

Job title

Lead Data Scientist, Electric Load Forecasting

Job type

Experience level

Senior

Salary

$157,040 - $174,490 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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