Load Forecasting Data Scientist

ISO New England, Inc•Windsor, CT

2d•$86,000 - $146,000•Hybrid

About The Position

ISO New England is seeking a Load Forecasting Data Scientist to support the Forecast Group within System Planning. The group conducts analytics and predictive modeling of regional electricity demand across short- and long-term time horizons. New technologies and economy-wide decarbonization are changing how retail customers procure, manage, and use electricity, and the group is redesigning its forecasting methods, software, and tools in response. Two positions are open, with separate emphases on short-range and long-range forecasting. Both offer the opportunity to lead development of next-generation forecasting tools and methodologies used in planning and operating the future grid. The role calls for someone able to work independently and in a fast-paced, collaborative team environment. The position is U.S.-based; relocation is required if the successful candidate resides outside the United States. ISO New England will not sponsor work visas for this position. The expected annual salary range is $86,000–$120,000 for Associate to Mid-Level. Senior or Lead candidates will also be considered, with an annual range of $117,000–$146,000. The role is eligible for an annual performance bonus and includes a comprehensive benefits package.

Requirements

Bachelor’s degree in Economics, Mathematics, Engineering, Operations Research, or a related field.
At least 3 years of experience in the energy industry in forecasting, data analytics, or an equivalent area.
Proficiency in at least one advanced programming language, such as Python, R, MATLAB, or SAS.
Hands-on experience developing software in a collaborative team environment.
Experience with big data, geospatial analytics, and/or probabilistic forecasting.
Experience building applications that ingest and use data from multiple sources and formats, including data wrangling or munging.
Excellent written and verbal communication skills.
At least 5 years of relevant experience for consideration at the Senior level; at least 7 years for consideration at the Lead level.

Nice To Haves

Experience in electricity consumption modeling or economic modeling in the energy sector.
Knowledge of distributed energy resources such as photovoltaics and batteries, electric vehicles, and/or cold-climate heat pumps.

Responsibilities

Work independently and collaboratively on analytical, programming, modeling, and data management activities.
Map out and document problem statements, project requirements, and associated workflows to develop efficient and effective solutions.
Improve existing processes and develop new forecasting methods, tools, and software.
Communicate complex technical content to diverse audiences through written reports and presentations.
Lead the development of data pipelines, reusable software packages, and visualizations, maintaining a strong focus on quality results.
Stay current with forecasting research and industry best practices, and strategically evaluate and implement relevant approaches.

Benefits

Competitive compensation with an annual performance bonus.
Enhanced 401(k) plan with generous employer contributions and financial planning support.
Tuition reimbursement and professional development.
Wellness program, including an onsite gym.
Flexible work hours.
Employee Business Networks.
Onsite luncheon spaces with free coffee and a variety of dining options.
Distance-based relocation assistance.
Comprehensive medical, dental, and vision insurance.
Flexible spending and health savings accounts.
Student debt benefit.
Life and AD&D insurance.
Disability insurance.
Critical illness and hospital indemnity benefits.
Paid time off and paid leave.
Employee assistance program.
Other company perks.