STAFF SCIENTIST FirstFuel Software
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.
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