Senior Data Scientist (Hybrid Schedule)

Eversource will not offer immigration-related sponsorship for this position. Applicants requiring visa sponsorship to start employment will not be considered. Hybrid schedules may be available, requiring at least three days in the office (including Tuesdays and Wednesdays), with flexibility for the third day based on department needs. Employees must be available to work up to five days in the office if needed for emergencies, training, or other business needs.

About the Role

This position focuses on solving challenges during both routine operations ("blue sky" days) and emergency scenarios ("grey sky" days). On blue sky days, you will develop problem-solving strategies and architect solutions. During grey sky days, you will apply analytics to support storm restoration, damage assessment, and situational awareness for crews restoring power to customers. The role requires a sense of urgency, curiosity about the utility business, and proficiency with modern machine learning tools.

Responsibilities

• Lead data science solution brainstorming and develop problem-solving strategies.
• Work with IT teams to develop production strategies for solutions.
• Interface with teams across Eversource to understand the data landscape and identify opportunities to leverage data streams.
• Develop robust model evaluation criteria and establish success criteria for solution development.
• Provide concrete instructions to data engineers and junior data scientists.
• Develop classifiers and tools using machine learning, data regression, and rules-based models.
• Code deliverables in collaboration with the engineering team.
• Help develop web applications that utilize ML models to provide business value.
• Support roadmaps for Substation Data Analytics, Asset and Grid engineering, and performance management.
• Assist in the design and execution of Asset and Grid performance models and digitalization efforts.
• Work with subject matter experts (SMEs) within Eversource and the industry to address complex issues.
• Support applications in intelligent overloading, dynamic ratings, failure mode analysis, incipient faults, cyber and physical security enhancement, online testing/parameter estimation, performance monitoring, digital substations, and leveraging IED and SCADA data for operational problem prediction or outage management.

Requirements

• BS degree in Engineering, Data Science, or a related quantitative field (advanced degree preferred).
• 5-8 years of related experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
• Experience with cloud architecture setup and CI-CD tools.
• Proficiency in scripting languages such as R, Python, and shell scripts.
• Knowledge of electric power systems and data science applications in the energy-utility space.
• Ability to work in a multicultural environment and drive team performance.
• Proven ability to translate insights into business recommendations.
• Experience developing modern web applications.

Skills

• Disciplined, structured, and highly committed to results.
• External customer focus.
• Ability to work in project organizations and engage/motivate people across cultures.
• Strong communication and collaboration skills.

Working Conditions

• Must be available for emergency restoration assignments as required.
• Must be available to travel between MA, CT, and NH as necessary.

Pay

Annual salary range: $124,070.00 - $137,860.00. This position is eligible for a potential incentive.

Benefits

Eversource offers a competitive total rewards program. For an overview of benefits, visit the careers site.