Substation and Data Innovation Engineering
The Data Science Intern will work in the Advanced Engineering Analytics team under the Substation & Transmission Line Engineering organization at Eversource. This Data Science Intern will prepare data for analytics, develop models and analytical tools for asset management, and using ML/AI methods for image recognition and defects identification.
Intern/Coop would gain a great understanding of the utility business, engineering teams, and data analytics in utility environment. Intern/Coop would be responsible for:
- Maintaining existing project databases and data pipelines by collecting, cleaning, standardizing, and analyzing data from various internal and external sources (e.g. SQL databases, Excel files, flat files, APIs, FTP servers, etc.)
- Creating data visualizations that effectively communicate trends and patterns as well as support conclusions through in-depth graphs, charts, tables, etc.
- Contributing to data discovery and data innovation and helping build analytic tools for asset management
- Investigating state-of-the-art computer vision algorithms and models and comparing them from the perspectives of applications and strengths.
- Using communication skills to translate data analysis findings into coherent written and verbal presentation and project documentation
Qualifications and Skills
- Sophomore or Junior pursuing a Bachelor’s or Master’s Degree in Computer Science, Data Science, Statistics, Business Analytics, or the other analytical disciplines
- Hands-on experiences/course projects in at least one of the following areas: database development and management (PostgreSQL or SQL Server), statistical modeling (Python, R, or SAS), data visualization (PowerBI or Plotly Dash), computer vision, and machine learning.
- Experience with scripting languages such as R, Python, SQL, etc.
- Highly motivated to work independently and productively, with an aptitude to learn quickly
- Demonstrated communication skills, both verbal and written, to effectively participate on a team and in remote meetings and conference calls