Senior Data Scientist (Hybrid Schedule)

Eversource Energy•Berlin, CT

2d•Hybrid

About The Position

This position is designed to help solve challenges Eversource faces in blue sky as well as 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 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 utility business, and should be equipped with modern machine learning tools to solve challenges.

Requirements

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 high committed to the results
External customer focus
Able to work in project organizations, engage and motivate people in different cultures.
Proven ability to translate insights into business recommendations
Knowledge developing modern web applications
BS degree in Engineering, Data Science or related quantitative field.
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

Nice To Haves

Advanced degree preferred.

Responsibilities

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.