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Property Data Specialist

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Karenclarkandco
Full Time position
Listed on 2026-07-30
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 85000 - 95000 USD Yearly USD 85000.00 95000.00 YEAR
Job Description & How to Apply Below

KCC seeks a Property Data Specialist to join our growing team of risk modeling experts. KCC develops models to estimate the risk from all types of natural perils including tropical cyclones, wildfires, severe convective storms, and earthquakes. KCC scientists and engineers create stochastic sets of potential future scenarios that are overlayed on geospatially distributed building and replacement cost data. These geospatial databases are developed by the exposure development team for countries around the world.

Expected

Salary Range:

$85,000-$95,000

Responsibilities
  • Develop detailed databases of residential, commercial, and industrial properties by investigating, analyzing, and synthesizing multiple internal and external datasets
  • Stay current with global population and construction trends
  • Develop innovative and efficient computational methods to process large spatial datasets across multiple data types and structures
  • Prepare reports and presentations that describe results of completed and ongoing developments
  • Support model development and client facing teams with geospatial calculations and visualizations
Qualifications
  • Master's degree in Geography, Economics, Statistics, or related field and 2-3 years work experience
  • Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a plus
  • Competent and proven analytical skills and programming experience in R/Python and SQL
  • Excellent oral and written communication skills, keen orientation to detail, an eye for professional presentation, and recognized organizational abilities
  • Proven experience using Arc Py or PyQGIS, GDAL, RasterIO, C# and .NET, a plus
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