Geospatial Data Scientist (Research Fellow or Part-time Consultant)

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Requirements:

• 5-7 years of experience in software engineering, environmental engineering, data science, or a related field, with a focus on GIS and data analysis (cumulative academic and professional experience acceptable).
• Proficiency in Python for data analysis, visualization, and modeling. Knowledge of other programming languages is a plus.
• Strong knowledge of ArcGIS or QGIS, including spatial analysis, data management, and mapping.
• Familiarity with validating catastrophe risk models and understanding their implications.
• Excellent problem-solving skills and attention to detail.
• Effective communication and teamwork abilities.

Responsibilities:

• Validate catastrophe risk models and assess their alignment with environmental and client standards.
• Analyze and process environmental datasets using Python and ArcGIS.
• Assist in creating visualizations and maps for risk models.
• Contribute to reporting and presentations by providing clear and actionable insights from data analysis.