Geospatial Analyst
Reston, VA · On-site +1
Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience ...
Geospatial Analyst
Reston, VA · On-site +1
Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience ...
Geospatial Analyst
Reston, VA · On-site +1
Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience ...
Geospatial Analyst
Reston, VA · On-site +1
Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience ...
Geospatial Analyst
Reston, VA · On-site +1
Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience ...
Geospatial Analyst
Reston, VA · On-site +1
Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience ...
Remote Google Colab information
What is the difference between Remote Google Colab vs Data Scientist?
| Aspect | Remote Google Colab | Data Scientist |
|---|---|---|
| Required credentials | No formal degree required; knowledge of Python and ML | Typically requires a degree in Data Science, Computer Science, or related fields |
| Work environment | Cloud-based, online platform for coding and collaboration | Varies; office, remote, or hybrid, often involving data analysis and modeling |
| Industry usage | Used by individuals for learning, prototyping, and sharing projects | Employed by companies across industries for data analysis, modeling, and decision-making |
Remote Google Colab is a cloud-based platform mainly used for coding, learning, and prototyping in Python, while Data Scientists typically work in diverse environments analyzing data, building models, and deriving insights. Both roles often require knowledge of Python and machine learning, but Data Scientists usually have formal education and industry experience. Understanding these differences helps clarify the scope and skills associated with each role.
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Other
Posted 5 days ago
Job description
ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team and provide agricultural and natural resource analysis support for our government customers. The successful candidate will play a central role in analyzing agricultural and natural resource data, producing actionable insights, and supporting programs that track global crop conditions and food supply. We’re looking for someone who combines strong technical skills with curiosity, adaptability, and a collaborative mindset.
Work Location: Hybrid in DC
Key Role Responsibilities:
- Collect, clean, and analyze datasets such as satellite imagery, weather data, agricultural surveys, and field observations
- Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling
- Use machine learning approaches for remote sensing and agricultural analytics
- Produce maps, visualizations, and technical reports—often on tight, recurring deadlines
- Present findings, support stakeholder engagement, and deliver technical training when needed
- Stay current on geospatial technologies, industry trends, and analytical methods
Basic Qualifications:
- Minimum of 2-4 years’ experience in in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
- Bachelor’s degree in geography, GIS, remote sensing, environmental/natural sciences, or related field plus at least 2 years of relevant experience. A degree in another discipline plus at least 3 years of experience in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
- 6+ years related experience in geospatial analysis and modeling in the absence of a degree.
- Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping).
- Proficiency with geospatial tools such as:
- ArcGIS Pro
- Google Earth Engine
- Jupyter Notebooks, Google Colab, or R Studio
- Basic programming experience in Python, JavaScript, or SQL
- Excellent written and verbal communication skills and comfort working in a team-based environment