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Senior Remote Sensing Scientist

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Cloud to Street is the leading remote flood mapping system designed for the world’s most vulnerable communities. Our platform harnesses global satellites, advanced science and community intelligence to monitor floods in near real time around the world and remotely analyze local flood exposure at a click of a button. Our mission is to ensure that all vulnerable governments can finally access the high quality information they need to prepare and respond to increasing catastrophes. Cloud to Street is or has been used by governments in 11 countries. We are on track to enable new flood protection and insurance for 10 million people in the next 5 years.

We are looking for a best-in-class remote sensing scientist to lead innovation to produce flood maps from optical imagery. You should apply if you are eager to use science to reduce the impact of catastrophic flooding and build an innovative and sustainable organization. In this role, you will lead the development of algorithms to extract flood information from optical imagery. You will work with a team of scientists and engineers with expertise in remote sensing (optical and radar), hydrology, climate, social vulnerability, UX, and machine learning to i) optimize and improve Cloud to Street’s current flood mapping system and ii) build the next generation of tools to ensure financial protection from floods in marginalized communities.


Primary Responsibilities

Characteristics of a Successful Candidate

Useful Experience

As a Cloud to Street member, you:

To Apply

Applicants are requested to send their submissions to hiring@cloudtostreet.info with: 

Applications will be accepted until the position is filled.

Cloud to Street is devoted to building an inclusive and diverse company. Women, people of color, and individuals with disabilities are especially encouraged to apply. 

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