Geospatial Data Scientist / Machine Learning Engineer

6h6 hours ago

Figure Eight Federal

Arlington, US · Full-time · $160,000 – $210,000

About this role

Figure Eight Federal provides accurate and reliable human annotated datasets that fuel AI and machine learning for the world’s biggest brands. With over 25 years of industry knowledge, our technology powers everyday AI interactions. We seek an exceptional Geospatial Data Scientist at the intersection of remote sensing, computer vision, machine learning, and data science.

This role requires advanced knowledge of raster-level geospatial data, collection metadata, and sensing phenomenologies including EO, IR, and SAR. You will bridge geospatial expertise with machine learning applications. The position is pivotal for clients achieving AI goals and industry impact.

Join a team leading the future of AI training data with cutting-edge geospatial analytics. Collaborate on solutions empowering significant industry advancements. Work in Arlington with professionals experienced in data-focused analytics.

Stay current with emerging trends in remote sensing and geospatial data science. Provide technical consultation on remote sensing capabilities for project planning. Advance innovative data strategies in a dynamic federal AI environment.

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
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
Provide technical consultation on remote sensing capabilities and limitations for project planning