Geospatial Data Scientist (TS Clearance)

1h1 hour ago

Figure Eight Federal

Arlington, US · Full-time · $130,000 – $180,000

About this role

Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for the world’s biggest brands. With more than 25 years of industry knowledge, our technology powers many AI interactions experienced every day. We seek an exceptional Geospatial Data Scientist at the cutting edge of data-focused geospatial analytics.

This role sits at the critical intersection of remote sensing, computer vision, machine learning, and data science. The ideal candidate possesses advanced knowledge of raster-level geospatial data, comprehensive understanding of collection metadata, and expertise in sensing phenomenologies including EO, IR, and SAR. It bridges the gap between geospatial data expertise and machine learning applications.

Day-to-day involves analyzing and processing complex geospatial datasets from multiple sensing modalities. Collaborate with ML Model Builders to optimize dataset exploitation strategies and develop innovative data preparation approaches. Design validation methods and automated processes for data integration and harmonization.

Generate comprehensive documentation of data characteristics, limitations, and potential biases. Stay current with emerging trends in remote sensing and geospatial data science. Provide technical consultation on remote sensing capabilities and limitations for project planning.

Requirements

Bachelor's degree in Remote Sensing, GIS, Computer Science, Geospatial Science, Data Science, or related field (additional years of experience may be substituted for degree)
3+ years of experience working with remote sensing data in analytical applications
Demonstrable knowledge of EO, IR, and/or SAR sensing phenomenologies and their unique characteristics
Strong programming skills in Python or R, with experience using geospatial libraries (e.g., GDAL, GeoPandas)
Working knowledge of computer vision techniques applied to satellite/aerial imagery
Proficiency with geospatial metadata standards and their importance in analysis
Experience evaluating dataset suitability for ML training and deployment
Active Top Secret security clearance

Responsibilities

Analyze and process complex geospatial datasets from multiple sensing modalities (EO, IR, SAR)
Evaluate dataset quality, coverage, and metadata to determine suitability for ML applications
Develop and implement innovative data preparation strategies for geospatial machine learning
Collaborate with ML Model Builders to optimize dataset exploitation strategies
Design and execute validation methods for geospatial data quality assurance
Develop automated processes for geospatial data integration and harmonization
Generate comprehensive documentation of data characteristics, limitations, and potential biases
Stay current with emerging trends and technologies in remote sensing and geospatial data science