About the role
We recently released our Intelligent Baselining feature, which allows solar companies to estimate customer electricity usage (and therefore probable solar savings) based on just one monthly bill. We have more work to do to increase the accuracy, of both estimated current electricity usage and extrapolated future usage, and to calculate and communicate error ranges.
As part of our experienced, interdisciplinary Data Engineering team, you will explore new ways to use the large amount of data we already have, as well as determine what new sources of data we should pursue. You will build models, test them against real-world scenarios, and iteratively refine the models to ensure that our predictions are as accurate as possible.
You should have a strong background in data analysis and statistics as well as the ability to code in such languages as R or Python, and be able to build and test models using Excel.
Please send resumes to firstname.lastname@example.org.