Senior Data Scientist (Hybrid)

Eversource Energy•Westwood, MA

4d•Hybrid

About The Position

As a member of Eversource’s Advanced Modeling and Forecasting team, you will help to influence, to shape, and to optimize billions of dollars of grid investments over the next decades in support of the Company’s Electric Sector Modernization Plan (ESMP), ensuring our safe and effective transition into a clean energy future in the most cost effective manner. The team strives for "best in class" data, analytics, and application practices, to help Eversource build the most advanced Distributed Energy Resources (DER) forecasting in the nation from the ground up. As a Senior Data Scientist, you will specialize in Distributed Energy Resources (DER) forecasting and power system impacts with a focus on emerging technologies (PV, EV, heat pumps) in support of the Company’s Long-Term System Planning Process (LTSPP). You will be focused on the Company’s Massachusetts territory to support efforts in the Company’s Electric Sector Modernization Plan and Long-Term System Planning Process. You will work with cross-functional teams to develop and implement advanced forecasting methodologies. By building a best-in-class electric distribution system analytics hub for actionable insights, you will drive strategic decision-making; around capital infrastructure investments, regulatory and rate case engagements, reliability and resiliency investments, and more. Your team members are other engineers and analysts who develop state-of-the-art predictive models to inform Eversource’s capital investments.

Requirements

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)
Cloud architecture and tools, such as Microsoft Azure and Databricks
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 degree in Engineering, Data Science or related quantitative field. Advanced degree preferred.
5+ years of related experience

Nice To Haves

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

Responsibilities

Support distribution system planning to meet least-cost clean energy goals as part of the company’s Electric Sector Modernization Plan (ESMP)
Support the Engagement of stakeholders through working groups and collect and distill input into the Long-Term System Planning Process.
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