Data Scientist

ISO New England•Windsor, CT

28d•Hybrid

About The Position

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 long-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.

Requirements

Bachelor’s degree in Economics, Mathematics, Engineering, Operations Research, or a related field
3+ years of experience in the energy industry in forecasting, data analytics, or equivalent
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 working with big data, geospatial analytics, and/or probabilistic forecasting
Experience building applications that ingest and use data from multiple sources and formats (i.e., data wrangling/data munging)
Excellent written and verbal communication skills

Nice To Haves

Experience in electricity consumption modelling or economic modelling in the energy sector
Knowledge about distributed energy resources (e.g. photovoltaics, batteries), electric vehicles, and/or cold-climate heat pumps

Responsibilities

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
Stay current with forecasting research and industry best practices; evaluate and implement relevant approaches strategically