Data Scientist

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Python
R
MATLAB
SAS
Algorithms

Job Details

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. There are two open positions, each having a respective emphasis on either short- or long-range forecasting, with opportunities to work in both areas concurrently. Both roles provide 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 caf 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
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