FirstFuel: Data Scientist

FirstFuel uses energy intelligence software to help utilities engage their commercial customers and rapidly achieve energy efficiency across commercial building portfolios.

FirstFuel Software Company: FirstFuel Software
Location: Lexington, MA

Company Overview
FirstFuel Software is the energy intelligence company that helps Utilities engage their commercial customers and rapidly achieve energy efficiency across commercial building portfolios.

Using patent-pending analytics that disaggregate whole building consumption into end-uses, the FirstFuel RBA platform combining electric interval and gas meter data with high-frequency weather and climate data, as well as GIS mapped building characteristics to produce a consistent, reliable view of how energy is being used inside each building. The remote analysis creates immediate benefits for utilities and their commercial building customers - leveraging the platform to:

  • Benchmark - Buildings at an end-use level against comparable buildings by size, type and region;
  • Recommend - Actionable, customized energy conservation measures by end-use - both operational and retrofit opportunities;
  • Monitor - Building's or entire portfolio's to verify actual end use energy savings, and support disclosure and labeling mandates.

Founded in 2010 and backed by top-tier VCs, FirstFuel is headquartered in Lexington, MA. For more information please visit

Position: Staff Scientist

The Staff Scientist will join a top-flight R&D team with decades of deep academic and industry experience. As part of an industry-leading Venture-backed startup on a rapid growth path, s/he will be expected to juggle multiple responsibilities: s/he will be equally comfortable in developing state of the art statistical and Machine Learning algorithms as well as deploying them using the best practices of software engineering applied to a scalable, secure, cloud-based architecture. S/he must have the ability to switch contexts rapidly between Research literature search, rapid prototyping and testing and deployment. Finally, s/he will be both a self-starter and a consummate team player.

Main responsibilities include:

  • developing the core statistical and machine learning algorithms with the Research group;
  • coding these algorithms in production quality software with the engineering team;
  • work in close collaboration with the engineering and building science teams in running production models and interpreting the results;
  • mine industrial-size data sets in various states of cleanliness to gain insight on underlying patterns;
  • pattern recognition and capture via variable creation and selection;
  • automation and scaling of model building process; deploying and monitoring model performance and initiate continuous model quality improvements; help develop next generation products and solutions.

Work will require effective cooperation with local and global teams. This position is not expected to involve significant (greater than 15%) travel.



  • Advanced degree (MS required, Ph.D. strongly preferred) in a quantitative field e.g., Operations Research, Computer Science, Statistics, Electrical Engineering, Physics, Econometrics, etc.
  • 3+ years developing models in Matlab®.
  • 5+ years of strong programming skills with extensive experience with at least one Object Oriented language like Java. Must have coded extensively and be prepared to demonstrate examples.
  • Must have developed and deployed advanced algorithms and /or statistical models with "real life" data.
  • Deep knowledge of analytic methodologies (linear & nonlinear regression, signal processing, simulation, optimization, neural networks, etc.).
  • Passion for energy and clean technologies.


  • Developed models in one or more Statistical packages like Matlab®, SAS®, SPSS®, R, RATS®, Stata®.
  • Proficiency in one or more of Unix shell scripting, Ruby, Perl, C++, Python.
  • Cloud platform programming experience (e.g., Amazon Web Services).
  • Work experience in a startup or small technology driven company.

To apply for this position, please send your cover email and CV to

Please note that we are unable to provide work authorization (H1B, Permanent Resident or similar) sponsorship.

Company Overview:
"Managers and policy makers are referring to Energy Efficiency as the 'first fuel'"- Jon Wellinghoff, FERC Chairman