Geospatial Data Analyst

Summary

Join Floodbase, a company revolutionizing climate change adaptation through flood risk solutions, as a Geospatial Data Analyst specializing in Remote Sensing. You will collaborate with a team to analyze flood data from various sources, create insightful visualizations, and contribute to improving flood mapping techniques. This remote role, with core hours in EST or a hybrid option in Brooklyn, NY, offers the opportunity to directly impact climate-vulnerable communities globally. You will extract actionable flood information, analyze historical flood data, identify and rectify errors in flood maps, and create engaging visualizations for clients and stakeholders. The role requires strong geospatial data science skills, proficiency in Python and GIS software, and excellent communication abilities.

Requirements

• Be a curious individual with a keen interest in flood science, remote sensing, and climate change issues, motivated to work on novel beneficial technology to make a positive impact in the world
• Possess organization skills, meticulousness and a keen attention to detail
• Hold a Bachelor’s degree in geography, earth sciences, or a related quantitative field, with a focus or demonstrated interest in GIS and remote sensing
• ~3 years of experience working with geospatial data science in general
• Good proficiency using QGIS
• Be proficient in Python programming within the open-source geospatial ecosystem, particularly with tools like Geopandas, Rasterio/GDAL, Rio/Xarray , etc
• Have familiarity with various raster and vector formats and best practices (e.g., GeoTIFF, COG, GeoJSON)
• Be experienced in creating production quality maps that adhere to cartographic best practices
• Have the ability to communicate effectively with both technical and non-technical audiences including but not limited to scientists, software engineering, internal commercial team stakeholders, insurance industry stakeholders, disaster managers at organizations like FEMA, etc
• Have basic familiarity with Git source control and code documentation standards

Responsibilities

• 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
• Analyze and validate historical flood time series using secondary data sources to ensure that damaging flood events are well represented
• Identify and rectify false positives and false negatives in flood maps to ensure the highest possible quality, while working with the Research and Development team to rectify persistent problem areas to improve our flood mapping techniques
• Create visually attractive and engaging maps and animations (e.g., GIFs) to showcase our flood maps to clients, journalists and other stakeholders
• Identify and explain discrepancies between time series data and valid historical events, and propose relevant solutions to meet client needs
• Collaborate with the team by contributing to existing tools and workflows, and propose improvements where needed

Preferred Qualifications

• Possess advanced degrees
• Have experience working with earth observation imagery using remote sensing tools
• Have experience in client facing technical product delivery role

Benefits

• Competitive salaries with regular reviews and adjustments based on performance and industry standards
• Equity compensation
• Competitive benefits package