Currently industrial combustion operates at an average efficiency of only 33%, meaning 2/3 of the energy in the system is wasted. This creates more pollution and wastes non-renewable natural resources. At ThermoAI our goal is to use fuel savings to have the maximum environmental impact. Every % efficiency we are able to gain is like taking 700,000 cars off the road.
ThermoAI designs state of the art combustion optimization technology. We develop proprietary machine learning models and sensors to help all industrial activities operate at the maximum level of efficiency possible.
ThermoAI is backed by many of the top tech programs in the world. Such as Techstars AI, Creative Destruction Labs, Arch Grant, Startup Chile, and MaRS Cleantech. We are passionate about our mission and our impact.
We are looking for a Data Scientist to help maintain our analytics pipeline and design new services for clients. We have steady streams of high-quality, highresolution data coming in from industrial facilities every day. These datasets are the ideal playground for new simulation and optimization methods, especially for researchers with an interest in time series analysis and causal modeling. We work primarily in Python and R, but we are open to alternative programming languages if there is good reason to try something new. Willingness to design and execute experiments is a must. Even if you don’t consider yourself an expert in these specific areas, we’re willing to bring you up to speed if you’re willing to put in the work!
Please send a cover letter and CV to careers@thermoai.com along with a brief email noting your interest and desired position.
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