Data Analytics Engineer FirstFuel Software
THIS JOB HAS EXPIRED
The Data Analytics Engineer 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 have the opportunity to shape groundbreaking applications in one of the big challenges facing humankind ? energy and its use. With cross-cutting implications in efficiency, climate change, policy, urban planning, smart grid, and other fields, this is the opportunity to help shape this century?s agenda. The team you will join are alumni of some of the world?s top Universities. More importantly they are passionate, committed and unified in their belief in the core Mission of FirstFuel ? to provide data-driven intelligence to buildings to achieve energy efficiency everywhere.
Main responsibilities include: Rapidly integrate prototype models into the core platform; develop best practices for deploying massively scalable model architecture on the cloud; develop model testing and continuous integration; deploy the core statistical and machine learning algorithms with the Staff Scientists in 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; design the optimum architecture to run a heterogeneous model development environment; 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.
Qualifications:
Required:
3+ years developing algorithms and models for cutting-edge software applications.
BS (with significant experience), MS or Ph.D. in a quantitative field e.g., Operations Research, Computer Science, Statistics, Electrical Engineering, Physics, Applied Mathematics, etc.
Exceptional programming skills with extensive experience with Java. Must have coded extensively and be prepared to demonstrate examples.
Demonstrable experience with MySQL databases and rapidly constructing efficient queries.
Must have developed or deployed advanced algorithms and /or statistical models with ?real life? data.
Experience deploying cloud-based SaaS applications.
Ability to write unit and regression tests for sophisticated machine learning and statistical models.
Significant experience with Big Data technologies ? e.g., Hadoop, MapReduce, Hive, Pig, Mahout, etc.
Preferred:
Knowledge of statistical or machine learning techniques (linear & nonlinear regression, Monte Carlo simulation, optimization techniques like LP and QP, neural networks, etc.)
Deployed models developed in commercial Statistical packages like Matlab, SAS, SPSS, R, RATS, Stata.
Deployed models developed in commercial Statistical packages like Matlab, SAS, SPSS, R, RATS, Stata.
Development experience with Ruby on Rails or similar and Python.
2+ years with a widely used Business Intelligence tool like Pentaho BI, Jasper or equivalent.
Cloud platform programming experience (e.g., Amazon Web Services).
Work experience in a startup or small technology driven company.
Passion for energy and clean technologies.
Contact:
To apply for this position, please send your cover email and CV to careers@firstfuel.com. Please note that we are unable to provide work authorization (H1B, Permanent Resident or similar) sponsorship.
Company Overview
FirstFuel Software is the energy intelligence company that helps Utilities engage their commercial customers and rapidly achieve energy efficiency across large 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.
| Location: |
Lexington, MA
United States
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THIS JOB HAS EXPIRED