Interested in driving data science innovation as part of an industry-leading team? E Source is looking for data scientists to collaborate on the development of ground-breaking data science applications that change the way utilities understand and manage their networks. We tackle challenging projects like analyzing aerial and satellite imagery data, forecasting the impact of severe weather on the performance and operations of massive utility networks, predicting asset failures, and modeling and forecasting consumer adoption of energy-efficient products and services such as demand-response programs, solar electric systems, and electric vehicles. To conduct these projects, we leverage a combination of machine-learning models, inference-based statistics, and remote sensing applications, including computer vision, time series analysis, and geospatial analytics.
The ideal candidate will have significant experience conducting analytics projects in either Python or R (both is a plus) in multiple analytical applications, such as geoinformatics, time series analysis, machine learning (such as binomial/regression models or ensemble models), deep learning (such as NN, CNN, and RNN), and statistical modelling (such as survival analysis, logistic regression, count models, and mixed-effect models). As with any successful analytics project, it all starts with the data, so you should have experience extracting and transforming data from relational databases and merging complex data sources that vary spatially and temporally. Experience with data-driven models using advanced metering infrastructure (AMI) data, remotely sensed weather observations, and/or vegetation and wildfire ecology data is particularly beneficial. Time-series database experience, such as with OSI PI, is a plus.
To be a good fit for E Source Data Science, you should thrive in team-based, collaborative projects from conception to release, and be eager to support customer communication and collaboration by participating in workshops and project-update meetings. The ability to simplify complex analyses into understandable concepts that are applicable to utility management and operations staff is highly desired. Ultimately, your impactful work will help enhance utilities decision-making around improved electric reliability and work efficiency in both the transmission and distribution sectors.
Our data scientists have diverse applied backgrounds in ecology, meteorology, remote sensing, image analytics, and text mining, as well as in the power utility sector. The ideal candidate has a BS, MS, or PhD in computer science, math, statistics, physical science, or data science. A background in an applied field that complements data science expertise is an asset (such as an applied discipline-specific expertise and statistics). You should have a proven track record of efficiently conducting data analytics projects either academically or professionally over at least a two-year (junior) or five-year period (senior).
Summary of qualifications:
The budgeted range starts at $75,000 - $100,000 + annual bonus. Actual pay will be adjusted based on experience.
Ideally this person will work from our Boulder, CO or Buffalo, NY location, but we will also consider remote candidates.
Applicants must be authorized to work for any employer in the US. We are unable to sponsor or take over sponsorship of employment Visa 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.