Load Forecasting Data Scientist
Windsor, CTAll locationsWindsor, CTHolyoke, MA Hybrid
$86,000–$120,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This role requires a self-starter with demonstrated ability to work seamlessly both unsupervised and in a fast-paced, collaborative team environment. There are two open positions, each having a respective emphasis on either short- or long-range forecasting. Both roles provide an opportunity to lead the team’s development of next generation forecasting tools and methodologies that are integral to the planning and operation of the future grid. NOTE: This role is currently located in Windsor, CT until it permanently moves to Holyoke, MA, which is currently expected to occur in 2028.
What you'll bring
- 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).
- 5+ years of relevant experience is required to be considered for a senior-level position.
- 7+ years of relevant experience is required to be considered for a lead-level position.
- Excellent written and verbal communication skills
- ◦ 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
- We will also consider a Senior or Lead.