Data Scientist

As a Data Scientist, you will drive development of cross-disciplinary software products used by our clean electricity retail, battery storage, and electricity market simulation teams. These products rely on ETL pipelines, deep time series forecasting, and portfolio optimization, all within the domain of electricity markets. Expertise in each of these areas is not necessary, but technical breadth will provide useful context as you iterate.

 

We are open to a range of seniority levels for this position. We will compensate and scope projects accordingly.

 

What you might work on:
Build a storage scheduler in a new market:
- Collect new signals necessary for modeling
- Read and implement constraints defined in electricity market tariffs
- Work with the ML Team to create the necessary forecasts
- Work with the Optimization Team to solve the portfolio optimization
-Create a pricing engine for time-matched (24/7) clean electricity supply:
- Ingest data on clean energy supply contracts, load shapes, and electricity prices
- Work with the ML Team to forecast retail customer load
- Work with the Optimization Team to create a least-cost supply portfolio

 

You might be a good fit if you:
- 2+ years of DS work experience or a relevant graduate degree
- Write robust, production-level code, preferably in Python
- Enjoy collaborative, cross-functional work
- Have led successful projects focused on one or more of the following: time series forecasting, optimization, ETL pipelines, or electricity market analysis