About AutoGrid
The world’s leading energy companies turn to AutoGrid to integrate all distributed energy resources, turn on new revenue streams and drive deeper engagement with their customers. Our suite of Energy Internet applications allows utilities, electricity retailers, renewable energy project developers and energy service providers to deliver clean, affordable and reliable energy in a distributed energy world.
How do we do this? By pioneering the science of flexibility management. This innovative approach enables energy providers to mine the Energy Internet’s rich data lode to extract flexible capacity from distributed energy resources. In turn, flexible capacity can be used to balance energy supply and demand in real time, increase the productivity and value of energy assets, and deliver new energy services to customers
Established at Stanford University in 2011, we have assembled a team of world-class software architects, electrical and computer engineers, data scientists and energy experts who apply cutting-edge analytics and in-depth energy data science to solve the world’s most critical energy problems.
About the Role
As Senior Data Scientist, you would be working with a team of other data scientists on the core optimization capabilities of the company in an agile environment. Experience in energy / utility or related markets is desirable but not necessary. Experience in building mission critical, highly scalable optimization applications is a must. Candidate should have a deep understanding of various optimization algorithms as well as practical experience of working with open-source and commercial solvers.
Responsibilities
About You
Nice to Have
Benefits and Perks
AutoGrid is an equal opportunity employer. We do not make hiring, employment or promotion decisions based on race, religion, color, sex, age, national origin, ancestry, sexual orientation, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
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Enabling a Smarter Energy Internet Established at Stanford University in 2011, we have assembled a team of world-class software architects, electrical and computer engineers, data scientists and energy experts who apply cutting-edge analytics and...
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