Senior Data Scientist; Hybrid

Role and Scope of Position

This position is designed to help solve challenges Eversource faces in blue sky and grey sky days. In blue sky days, the individual will develop problem solving strategies and architect solutions. During grey sky days, the individual will work on using analytics to help storm restoration, damage assessment and give the best situational awareness to crews helping restore power to thousands of Eversource customers.

The individual should possess a sense of urgency, an inherent curiosity to learn facets of the utility business, and be equipped with modern machine learning tools to solve challenges.

• Leads data science solution brainstorming and develop problem solving strategy
• Works with IT teams to develop solution production strategy
• Interfaces with teams across Eversource to understand data landscape and identify opportunities to leverage data streams from different groups
• Develops robust model evaluation criteria, establishes success criteria for solution development and provides concrete instructions to data engineers and junior data scientists
• Develops classifiers and tools leveraging machine learning, data regression, and rules‑based models
• Codes deliverables in tandem with the engineering team
• Helps develop web applications which use the above developed ML models to provide business value
• Supports roadmaps for Substation Data Analytics and support of Asset and Grid engineering and performance management
• Supports in design and execution of Asset and Grid performance models, and Digitalization
• Works with SMEs within Eversource and overall industry, to help address the most complex issues

• Supports in various application of intelligent overloading, dynamic ratings, failure mode and incipient faults, cyber and physical security enhancement, online testing/parameter estimation, performance monitoring and insights, opportunities in digital substations, leverage IED and SCADA data for operational problems prediction, or outage management, etc.

• Knowledge of electric power systems and data science applications in the energy‑utility space
• Knowledge of the complex industry trends, and advanced solutions
• Capable of working in a multi‑cultural environment driving team performance
• Disciplined, structured, and highly committed to the results
• External customer focus
• Able to work in project organizations, engage and motivate people in different cultures

• BS degree in Engineering, Data Science or related quantitative field.
• Advanced degree preferred.

• 5-8 years of related experience
• Experience in machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence. Academic, apprenticeship experience acceptable.
• Experience with setting up cloud architecture and CI‑CD tools
• Experience with scripting languages such as R, Python, and shell scripts

• N/A

• Must be available to work emergency restoration assignment as required.
• Must be available to travel between MA/CT/NH as necessary.

• Build trusting relationships
• Manage and develop people
• Foster teamwork and cross‑functional collaboration
• Lead change
• Communicate strategic vision
• Create an engaged workforce
• Focus on the customer
• Take ownership & accountability

Eversource offers a competitive total rewards program. Salary is commensurate with your experience. This position is eligible for a potential incentive. The annual salary range for this position is:

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Responding to emergency situations to meet customers’ needs is part of every employee’s role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.

Eversource Energy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.

VEVRRA Federal Contractor

Please submit a resume with your application.