Are you an experienced data scientist looking to join an industry-leading team?
E Source develops groundbreaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like optimizing vegetation management strategies and forecasting the impact of severe weather on utility networks. To conduct these projects, we use a combination of machine learning models, inference-based statistics, and remote-sensing applications. Each project or product is collaboratively developed in-house by a data science team of diverse professional backgrounds and domain expertise. Ultimately, our work helps utilities enhance their electric reliability and prepare to adopt and deploy cutting-edge green energy technology.
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:
- Fit and assess predictive models leveraging geospatial data sources in R and/or Python.
- Explore and analyze client-provided assets and reliability data sets.
- Collaborate with a broader data science and engineering team to take projects and products from inception to client delivery.
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 is highly desired.
What will make you a great fit:
- Master’s or PhD and multiple years with applied experience in forestry, ecology, vegetation-related remote sensing, statistics, or a similar field.
- Minimum three years conducting data science projects using spatial or time-series data sets in industry or applied research—analytical design, managing schedules, and communicating results to stakeholders.
- Extensive experience fitting and assessing predictive models using regression techniques in R and/or Python.
- Experience conducting all phases of analysis, including data compilation, exploratory data analysis, feature engineering, and deliverable generation (visualizations, reports, output files).
- Experience working as part of a larger data science team, collaborating with technical or nontechnical peers and stakeholders.
Preferred qualifications:
- Domain expertise using regression techniques (e.g., generalized linear models, generalized linear mixed models, zero-inflated models, regression trees).
- Domain expertise using remotely sensed and satellite data sets.
- Experience using cloud computing infrastructure (e.g., Amazon Web Services) and collaboration version control (e.g., Git).
- Domain expertise in the utilities sector (electric, gas, water).
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:
$95,000 to $145,000 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.
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