Senior Data Scientist - Hybrid Energy Analytics

Eversource; Manchester (NH); Hybrid; USD 124,000 - 138,000; Full time

Job summary

Eversource in New Hampshire seeks a data science leader to drive advanced analytics for grid resilience, outage prediction, and asset performance. You will develop ML models and deploy them via web applications, collaborating with IT, engineering, and operations teams.

Required are 5–8 years of experience, a BS in Engineering or Data Science (MS preferred), and strong Python/R skills. The role includes hybrid work with in-office duties and travel as needed.

Qualifications

• BS degree in Engineering, Data Science or related quantitative field.
• Advanced degree preferred.
• 5-8 years of related experience in machine learning, data mining or AI.
• Experience with setting up cloud architecture and CI-CD tools.
• Proficiency in R, Python, and shell scripting.

Responsibilities

• Lead data science solution brainstorming and develop problem solving strategy.
• Work with IT teams to develop solution production strategy.
• Interface with cross-functional teams to map data landscape and opportunities.
• Develop classifiers and tools using ML, data regression and rules-based models.
• Code deliverables with the engineering team and support web applications using ML models.
• Support roadmaps for Substation Data Analytics and Grid performance models.

Skills

Data science

Machine learning

Python

R

Shell scripting

Cloud architecture

Stakeholder management

Team leadership

Analytical thinking

Cross-functional collaboration

Education

BS in Engineering/Data Science or related

MS or advanced degree preferred

Tools

CI/CD tools

Cloud platforms

Web applications development

Job description

Eversource in New Hampshire seeks a data science leader to drive advanced analytics for grid resilience, outage prediction, and asset performance. You will develop ML models and deploy them via web applications, collaborating with IT, engineering, and operations teams.

Required are 5–8 years of experience, a BS in Engineering or Data Science (MS preferred), and strong Python/R skills. The role includes hybrid work with in-office duties and travel as needed.