E Source is looking to drive data science innovation by developing models for customer energy usage, detecting grid-impacting end uses, and estimating program impacts for integration with their production software serving utility clients.
Requirements
- Proficiency in R or Python (fluency in both preferred)
- Experience applying data science methods to proof-of-concept and operational support projects in a professional environment
- Familiarity with cloud environments, specifically AWS and Azure
- Strong understanding of a variety of statistical and machine learning model families, including: Generalized linear models, Time series approaches, Penalized regression models, Tree-based ensemble models, Neural network models, Natural language processing techniques
- Experience using Databricks, particularly with PySpark
- Familiarity with customer and distribution grid data models
Responsibilities
- Contributing to translating a scope of work into technical tasks for project team assignments using Jira issues
- Data exploration and evaluating sufficiency to perform data science tasks
- Creatively distilling insights from data exploration and modeling which make our work products meaningful and actionable for our clients.
- Developing statistical and machine learning models and validating model performance
- Collaborating on the development and maintenance of data science pipelines for repeated execution
- Code repository management and code reviews
- Identifying data sources that can facilitate data science solutions to utility industry problems
Other
- Master’s degree or PhD in a technical field such as statistics, economics, mathematics, or electrical engineering
- Strong communication and presentation skills
- Communicating with clients (internal or external) throughout the data science project lifecycle
- The ability to simplify complex analyses into understandable concepts that are applicable to management and operations staff is highly desired.
- Professional experience in the utility or energy sector
- This role will be 100% remote, with infrequent travel (generally 1-2 times per year).
- Applicants must be authorized to work for any employer in the US or Canada. We’re unable to sponsor or take over sponsorship of employment visas or Labour Market Impact Assessments (Cdn) at this time.
