Load Forecast Data Scientist

ISO New England is the independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England’s ongoing transition to clean energy.

New technologies and the New England region’s economy-wide decarbonization efforts are driving a profound transformation in the work of the Forecast Group within System Planning. Responsible for analytics and predictive modeling of the region’s electricity demand across all timescales—spanning both short-term and long-term time horizons—the Forecast Group is innovating and redesigning its forecasting methods, software and tools to meet changing trends in how retail customers procure, manage and use electricity.

This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. This position will be focused on short-term forecasting, with potential opportunities to work in long-range forecasting as well. The candidate will have an opportunity to lead the team’s development of next generation forecasting tools that are integral to the planning and operation of the future grid.

What We Offer You

- Hybrid work schedule with 2 days/week onsite

- Relocation Assistance

- Base salary plus performance bonus program, professional development and tuition reimbursement, enhanced 401k and financial planning, wellness programs with onsite gym, onsite café with free coffee, flexible work hours, access to business networks & more, all in a stable and supportive work environment!

How You Will Make An Impact

- Work independently and collaboratively on analytical, programming, modelling and data management activities

- Map out and document problem statements, project requirements and associated workflows in pursuit of efficient and effective solutions

- Leverage a curious mindset, initiative, and “elbow grease” to enhance existing processes, and to innovate new forecasting methods, tools, and software

- Communicate complex, technical content to a diverse audience through written reports and presentations

- Apply a persistent drive for quality results to lead the development of data pipelines, reusable software packages and visualizations

- Research forecasting developments within the research community and strategically implement findings

What You Need To Be Successful

- Bachelor’s degree in economics, mathematics, engineering, operations research, or a related field required.

- 3+ years’ experience in the energy industry in forecasting, data analytics, or equivalent; experience in electricity consumption modelling or economic modelling in the energy sector is a plus.

- Innovative thinker with a passion for predictive modeling, coding, and algorithm/software development

- Proficiency in at least one advanced programming language (e.g., Python, R, MATLAB, SAS) is required to succeed in this role; familiarity with MATLAB is a plus

- Hands-on experience in software development in a collaborative team setting

- Knowledge about distributed energy resources, electric vehicles, and/or cold-climate heat pumps is a plus

- Experience in working with big data, geospatial analytics, and/or probabilistic forecasting

- Experience data munging and building applications which load and use data from various sources and formats

This employer will not sponsor applicants for work visas for this position (ex: H-1B, F-1/CPT/OPT, O-1, E-3, TN, J, etc.).

This is a U.S. based role. If the successful candidate resides outside of the U.S., relocation will be required.

Equal Opportunity: We are proud to be an EEO employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.

Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.