What are the responsibilities and job description for the Geospatial Data Analyst, Remote Sensing position at Floodbase?
ABOUT FLOOD BASE
Floodbase is changing the way businesses and communities adapt to increasing risk of climate change impacts from flooding. Last year, we launched a solution enabling re / insurers and public sector organizations to profitably design, underwrite, and monitor parametric flood insurance products, extending coverage to historically uninsurable locations and risks. Built on nearly a decade of industry-leading and peer-reviewed science, our proprietary solution continuously monitors flooding globally. Floodbase is backed by investors like Lowercarbon Capital, Collaborative Fund, and Floating Point, and trusted by NASA, The UN, Google, FEMA, and more.
About the Role
We are looking for a talented and enthusiastic Geospatial Data Analyst with a Remote Sensing focus to join our Technology team. You will collaborate with fellow analysts, scientists and particularly commercial team members to understand client needs, extract relevant flood information from Earth observation sensors and leverage internal and external GIS / RS tools to analyze and propose creative solutions. The results of your work will have a direct impact on increasing financial protection for climate vulnerable communities around the world. The role is remote, with core hours in EST or hybrid based in Brooklyn, NY.
Here's what you'll do
- Extract actionable flood information from large structured and unstructured datasets of satellite observations, hydrologic model outputs, and auxiliary records (stream gauges, water occurrence etc) that can be incorporated into the Floodbase parametric insurance product.
Example project : Use Floodbase generated flood index along with satellite observations and a stream gauge record to understand how flood impacts Clayton county in Georgia. Investigate whether other data sources need to be incorporated to better represent the flood dynamics of that specific region.
Example project : Analyze FEMA claims at the census block group scale and geolocated mentions of flooding on social media to quantify severity of a historical flood event.
Example project : Analyze imagery from ESA Sentinel-2 and Sentinel-1 over Emilia-Romagna in Italy and quantify the amount of false positives and false negatives in the machine learning derived flood map corresponding to each sensor.
Example project : A major Hurricane has impacted the east coast and our collaborators at FEMA want to understand the impact through a map that combines flood severity derived from flood maps at disparate temporal and spatial resolutions. This map also needs to be tweaked visually to send to national media.
Who you are
Salary range
Floodbase offers competitive salaries with regular reviews and adjustments based on performance and industry standards. Additionally, this individual will receive equity compensation and a competitive benefits package.