Hybrid Senior Data Scientist – Hybrid

at Eversource Energy

• Job title: Senior Data Scientist – Hybrid
• Job type: Full Time
• Experience level: Senior
• Salary: $120,460 - $133,840 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Python, Spark, SQL
• Location requirements: Hybrid, Westwood, United States

About the role

• Senior Data Scientist at Eversource optimizing Distributed Energy Resources forecasting and supporting clean energy initiatives. Developing methodologies for long-term load forecasting and collaborating with cross-functional teams.

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

Requirements

• 5+ years of related experience
• 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.

Benefits

• Eversource offers a competitive total rewards program
• Check out our careers site for an overview of our benefits programs