Geospatial Data Analyst, Remote Sensing

Posted 3 months agoViewed

💎 Seniority level: Middle, ~3 years

📍 Location: Brooklyn, NY, EST, NOT STATED

🔍 Industry: Climate risk management and insurance

🗣️ Languages: English

⏳ Experience: ~3 years

🪄 Skills: Python

Bachelor’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.