Jason Gran is a data science leader with 12 years of experience applying machine learning and software engineering to energy storage, market bidding, and time series forecasting. Currently Managing Director and Head of Data Science at Spearmint Energy after leading the Energy Storage & Optimization data group at Wärtsilä, he builds production-ready forecasting and bidding systems that bridge research and operations. His background includes designing ML features for analytics platforms at Tellius and performing large-scale statistical analysis as a PhD physicist on the CMS experiment at CERN. Jason combines deep quantitative training with hands-on product delivery in power markets, routinely turning complex simulation and market signals into actionable automation. Based in the Washington DC–Baltimore area, he’s comfortable leading teams through both model development and deployment across real-world energy assets. An uncommon strength is his ability to translate particle-physics scale data-analysis rigor into pragmatic, revenue-driving energy software.
12 years of coding experience
11 years of employment as a software developer
PhD Physics, PhD Physics at UC Santa Barbara
BS Physics BA Mathematics, BS Physics BA Mathematics at University of Virginia
Tools for making CMS3 Ntuples (see NtupleMaker for the ntuple making code)
Contributions:182 pushes, 4 branches, 1 tag in 10 months
cms
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Jason Gran - Managing Director, Head Of Data Science