Senior Data Scientist, Energy Grid Analytics

Eversource Energy; Westwood (MA); Hybrid; USD 124,000 - 138,000; Full time

Job summary

Eversource Energy seeks a data science professional to develop problem solving strategies and architect ML solutions for grid analytics. You will work across teams to leverage data streams and build scalable models for restoration and performance insights.

The role requires 5–8 years in ML/data science, a BS in engineering/data science, and experience with Python/R, cloud architectures, and CI/CD. A hybrid work setup with occasional travel to MA/CT/NH is included.

Qualifications

• BS degree in Engineering, Data Science or related quantitative field.
• 5-8 years of related experience in data science or ML.
• Experience with machine learning, recommendation systems, pattern recognition, data mining or AI.
• Experience with cloud architecture and CI-CD tools.
• Experience with scripting languages such as R, Python, and shell scripts.

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.

Skills

Machine Learning

Data Science

Analytical Thinking

Scripting (Python/R)

Education

BS degree in Engineering, Data Science or related quantitative field

Advanced degree preferred

Tools

Python

R

Shell scripting

CI/CD tools

Cloud architectures

Job description

Eversource Energy seeks a data science professional to develop problem solving strategies and architect ML solutions for grid analytics. You will work across teams to leverage data streams and build scalable models for restoration and performance insights.

The role requires 5–8 years in ML/data science, a BS in engineering/data science, and experience with Python/R, cloud architectures, and CI/CD. A hybrid work setup with occasional travel to MA/CT/NH is included.