Senior Data Scientist (Hybrid)

Eversource Energy-posted about 1 year ago
Full-time • Senior
Hybrid • Westwood, MA
Utilities
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As a Senior Data Scientist at Eversource, you will play a crucial role in the Advanced Modeling and Forecasting team, focusing on Distributed Energy Resources (DER) forecasting and power system impacts. This position involves developing and implementing advanced forecasting methodologies to optimize grid investments and ensure a reliable transition to a clean energy future. You will collaborate with cross-functional teams to drive strategic decision-making and enhance the electric distribution system analytics hub.

  • Develop, use, maintain and manage models and solutions for forecasting long term load, solar and storage, building and transportation electrification.
  • Collect, preprocess, and analyze historical load and generation data to calibrate and validate forecasting models, ensuring accuracy and reliability across different DERs.
  • Monitor and evaluate performance of forecasting models and identify inconsistencies and improvements.
  • Conduct research and stay abreast of developments in emerging technologies, regulatory policies and best practices for modeling energy demand and generation.
  • Collaborate with cross functional teams, including engineers, data scientists, analysts, and energy efficiency experts to integrate advanced forecasting into system planning and operations.
  • Provide technical expertise and support internal stakeholders, external partners and customers on DER forecasting, power systems analysis, and renewable energy integration.
  • Clearly document advanced forecasting efforts and work with other departments to integrate new and existing processes.
  • 5+ years of related experience as a data scientist.
  • Experience in forecasting with a focus on energy demand and DER applications.
  • Proficient programming skills in one or more languages (e.g. Python, Spark, SQL).
  • Familiar with predictive analytics and statistical modeling techniques in the context of power systems, load forecasting, and renewable energy.
  • Familiar with distribution engineering and system planning processes.
  • Excellent communication and collaboration skills to work in a cross-functional environment.
  • Problem solving skills to analyze complex engineering data and draw actionable insights.
  • BS in Engineering, Data Science, Statistics, or related quantitative field; Masters preferred.
  • Experience working with time series data, PI SCADA systems, DER management platforms and/or AMI (Advanced Metering Infrastructure).
  • Geospatial tools, data and models (e.g. ArcGIS, Google Earth).
  • Knowledge of regulatory frameworks, grid integration considerations related to DERs.
  • Experience in power systems engineering, energy modeling, or related fields.
  • Competitive total rewards program including salary range of $117,000 to $130,000 plus incentive.
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