FirstFuel: Data Scientist
FirstFuel uses energy intelligence software to help utilities engage their commercial customers and rapidly achieve energy efficiency across commercial building portfolios.
Location: Lexington, MA
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 firstfuel.com.
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 email@example.com.
Please note that we are unable to provide work authorization (H1B, Permanent Resident or similar) sponsorship.
"Managers and policy makers are referring to Energy Efficiency as the 'first fuel'"- Jon Wellinghoff, FERC Chairman