Data Scientist II or III, Energy Domain - REMOTE

Interested in driving data science innovation?

We are growing! In this position you’ll be a team member collaborating on data science projects with disciplined utility experts and E Source data scientists, software engineers, and machine learning engineering experts. Example projects include customer energy usage modeling across time and weather conditions, detecting usage of grid-impacting customer end uses, and estimating impacts of utility-managed programs and services.  The models will be developed for integration with our production software serving our utility clients. 

A little about E Source

E Source combines industry-leading research, data science, and consulting to help utilities make and implement better data-driven decisions that positively impact their customers, their bottom line, and our planet. Headquartered in Boulder, CO, we have teams across the US and Canada. Learn more at www.esource.com.

How you’ll help:

• 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
• Communicating with clients (internal or external) throughout the data science project lifecycle
• Identifying data sources that can facilitate data science solutions to utility industry problems

You’ll be a full-time member of the E Source Data Science team. Our data science positions appeal to self-starters who welcome and excel in team-based, collaborative projects from conception to end-user handoff, providing an excellent customer experience throughout. The ability to simplify complex analyses into understandable concepts that are applicable to management and operations staff is highly desired.

What will make you a great fit:

• Master’s degree or PhD in a technical field such as statistics, economics, mathematics, or electrical engineering
• Strong communication and presentation skills
• 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

Preferred Qualifications:

• Experience using Databricks, particularly with PySpark
• Professional experience in the utility or energy sector
• Familiarity with customer and distribution grid data models

What you can expect

• Excellent insurance options, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; and medical and dependent-care flexible spending plans.

• A flexible time off (FTO) program where you can take as many paid days off per year as they need, with manager approval, while fulfilling