Who we are looking for:
We are building a first-of-its-kind predictive model that can accurately forecast the energy output of solar power projects, and we need you to lead the development of the model. We need a self starter who has a strong quantitative background, great communication skills, and ideally an expertise in weather. To help you be successful, you will have access to the largest database of historical solar project performance to feed your model.
What you can look forward to:
- You’ll be responsible for comparing alternative modeling methodologies and choosing the best tools for the job
- Continuously seeking new ways to validate and improve the accuracy of the model
- Delivering well-supported analysis with uncertainty / confidence metrics that we can stand by
- Excellent Python coding skills
- Excellent command of statistics — random variables, statistical tests, confidence intervals, etc.
What you likely need to do the job well:
- Fluency with a variety of statistical modeling approaches, and ability to clearly explain the trade-offs and why a certain one is best for a certain problem
- Experience working with weather and weather models is strongly preferred
- You know the difference between testing a hypothesis and just going on a fishing expedition
- A track record of spotting relevant trends in noisy data sets
- Dedication to quality, craftsmanship, truth and accuracy in reporting
Please send your resume to firstname.lastname@example.org. If possible, please include a link to an example of a data analysis or prediction you have done (for example a Kaggle contest), along with the reasoning behind your approach.