Senior Data Scientist (Hybrid)
Berlin, CT, United States
Full Time Senior-level / Expert USD 120K - 133K
Eversource Energy
Eversource is an energy provider serving customers in Connecticut, Massachusetts and New Hampshire. Access your residential account, report outages, and more.This is a hybrid role. The first three months are fulltime in the office.
Essential Functions:
- Develops classifiers and tools leveraging machine learning, data regression, and rules-based models
- Suggests, collects and synthesizes requirements and create effective feature roadmap
- Codes deliverables in tandem with the engineering team
- Develops architecture for automated train-test-deploy on cloud
- Deploys the models and develop API end points
- 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.
- Responsible for data mining and exploration, interface, models and systems utilizing multiple data sets
- Works with SMEs within Eversource and overall industry, to help address the most complex issues
- Works with IT team to address specific requirements for Machine Learning – Artificial Intelligence and develop software tools and architecture
- 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.
Technical Knowledge/Skill/Education/Licenses/Certifications:
Technical Knowledge/Skill:
- 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
Education:
- BS in Data Science, Engineering, Computer Science or related quantitative field degree. Advanced degrees preferred and may count towards years of experience.
Experience:
- 5+ years of 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
Licenses & Certifications:
Working Conditions:
- Must be available to work emergency restoration assignment as required.
- Must be available to travel between MA/CT/NH as necessary.
Compensation and Benefits:
- Eversource offers a competitive total rewards program. The annual salary range for this position is $120,460.00- $133,840.00 plus incentive. Salary is commensurate with your experience. Check out the career site for an overview of benefits.
Worker Type:
RegularNumber of Openings:
1EEO Statement
Eversource Energy is an Equal Opportunity and Affirmative Action 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
Emergency Response:
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.
Tags: APIs Architecture Computer Science Data Analytics Data Mining Engineering Machine Learning ML models Python R Security Testing
Perks/benefits: Career development Competitive pay
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