Data Scientist (Levels II-IV) - REMOTE
About The Position
E Source develops groundbreaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like simulating major investment strategies across statewide electric networks and optimizing vegetation management strategies. To conduct these projects, we leverage 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 keep the lights on for their customers when they need it most. 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 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 excellent customer experience throughout. The ability to simplify complex analyses into understandable concepts that are applicable to management and operations staff is highly desired.
Requirements
- Education: MS or PhD in Engineering, Math, Statistics, or similar field of study.
- Experience: MS + 1 year professional experience conducting data science projects in industry or applied research – analytical design, managing schedule and communicating results to stakeholders or PhD with applied research in above mentioned fields of study.
- Hands on experience cleaning, joining, and analyzing real-world data sets using predictive models (statistical, machine learning) in R and/or Python.
- Experience working as part of a larger data science team, collaborating with technical or non-technical peers, and presenting interpretable results to stakeholders.
Nice To Haves
- Domain expertise in the electric utility space
- Domain expertise in geospatial analytics or using remotely sensed weather observations
- Experience leading and overseeing the work of data analysists or data scientists within a team
Responsibilities
- Fit and assess predictive models leveraging geospatial data sources in R 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.
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
