Floodbase

๐Ÿ‘ฅ 11-50๐Ÿ’ฐ $12,000,000 Series A about 2 years agoFood and BeverageService IndustryRisk Management๐Ÿ’ผ Private Company
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Floodbase is a climate adaptation technology company revolutionizing parametric insurance. We provide precise, near real-time flood data and analysis, enabling insurers to add comprehensive flood protection to existing wind policies. This innovative approach expands flood insurance globally, reaching areas previously uninsurable. Our technology empowers businesses and communities to adapt to the increasing risks of climate change. We leverage a robust tech stack including advanced remote sensing techniques, machine learning algorithms, and a powerful GIS infrastructure, built on Python's open-source geospatial ecosystem (Geopandas, Rasterio/GDAL, Rio/Xarray, QGIS). Our team blends scientific expertise with software development, fostering a collaborative and innovative engineering culture. We prioritize data integrity, employing rigorous validation processes to ensure the highest accuracy in our flood maps. Floodbase is backed by leading investors like Lowercarbon Capital and Collaborative Fund, and trusted by organizations such as NASA, the UN, and FEMA. We offer a remote-friendly work environment with a focus on work-life balance, providing competitive salaries, equity compensation, and a comprehensive benefits package. We are a growing company with a significant impact on global climate resilience. We're committed to providing crucial flood risk data that protects vulnerable communities worldwide. Join us and be a part of building a more resilient future.

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๐Ÿ“ Brooklyn, NY

๐Ÿงญ Full-Time

๐Ÿ” Climate risk management and insurance

  • Bachelorโ€™s degree in geography, earth sciences, or a related quantitative field.
  • Approximately 3 years of experience working with geospatial data science.
  • Proficiency using QGIS.
  • Proficient in Python programming within open-source geospatial ecosystem (Geopandas, Rasterio/GDAL, etc.).
  • Familiarity with raster and vector formats (e.g., GeoTIFF, GeoJSON).
  • Experience in creating production-quality maps.
  • Ability to communicate effectively with technical and non-technical audiences.
  • Basic familiarity with Git source control.
  • Extract actionable flood information from large structured and unstructured datasets.
  • Analyze and validate historical flood time series using secondary data sources.
  • Identify and rectify false positives and negatives in flood maps.
  • Create visually attractive maps and animations to showcase flood data.
  • Identify discrepancies in data and propose solutions.
  • Collaborate with the team on tools and workflows.

Python

Posted 2 months ago
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