Position Details
About this role
A role focused on ensuring the quality, validity, and governance of geospatial data products, including aerial imagery and property insights, using machine learning and data validation techniques.
Key Responsibilities
- Define product quality expectations
- Design quality processes
- Establish scalable data quality frameworks
- Investigate and remediate data issues
- Review geospatial data outputs
Technical Overview
Involves geospatial data validation, data quality frameworks, machine learning applications, and remote data processing for geospatial data products.
Ideal Candidate
The ideal candidate is a mid-level geospatial data professional with experience in aerial imagery, data quality assurance, and machine learning applications. They are organized, independent, and capable of establishing scalable geospatial data quality frameworks.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with geospatial data validation, No familiarity with machine learning in geospatial context, Inability to work independently in a remote setting
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