Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
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
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