Consulting
Location: Remote
About the job
Description
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
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 their work obligations and ensuring proper coverage of their responsibilities.
Flexible schedules, flexible work locations, and a paid parental leave benefit.
A 401(k)/RRSP plan with a 3% employer match.
The Budgeted Salary For This Position Is
$85,000 – $130,000 USD + annual bonus.
Actual pay will be adjusted based on experience.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. If you are interested in similar job opportunities in the future, visit the E Source careers page for a listing of all open positions and contact Human Resources.
We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.
Consulting
More Information
- Term Entry +
- Company E Source