Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc. * Strong ability to communicate concepts and analytical results with ...
Familiarity with open source python computer vision libraries such as Scikit-image, Rasterio, OpenCV, Pillow, Shapely, etc. * Strong ability to communicate concepts and analytical results with ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Expert level understanding of Python, including geospatial libraries like Fiona and Shapely. * Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles ...
Experience with major open-source GIS libraries and tools (GDAL/OGR, Rasterio, Shapely, Fiona) * Familiarity with common desktop GIS environments (QGIS, ArcGIS Pro, ArcGIS Desktop, ArcPy)
Experience with major open-source GIS libraries and tools (GDAL/OGR, Rasterio, Shapely, Fiona) * Familiarity with common desktop GIS environments (QGIS, ArcGIS Pro, ArcGIS Desktop, ArcPy)
Experience with Python geospatial packages such as GeoPandas and Shapely * Ability to independently complete technical projects with little to no oversight Desired: * Masters degree and 5+ years of ...
Experience with Python geospatial packages such as GeoPandas and Shapely * Ability to independently complete technical projects with little to no oversight Desired: * Masters degree and 5+ years of ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
Experience with major open-source GIS libraries and tools (GDAL/OGR, Rasterio, Shapely, Fiona). * Familiarity with common desktop GIS environments (QGIS, ArcGIS Pro, ArcGIS Desktop, ArcPy)
Experience with major open-source GIS libraries and tools (GDAL/OGR, Rasterio, Shapely, Fiona). * Familiarity with common desktop GIS environments (QGIS, ArcGIS Pro, ArcGIS Desktop, ArcPy)
Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. Experience with modern ML infrastructure, including cloud services (e.g., AWS), containerization ...
Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. Experience with modern ML infrastructure, including cloud services (e.g., AWS), containerization ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
Quick apply
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
Staff Engineer, AI
Herndon, VA · On-site
Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. * Experience with modern ML infrastructure, including cloud services (e.g., AWS ...
Staff Engineer, AI
Herndon, VA · On-site
Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. * Experience with modern ML infrastructure, including cloud services (e.g., AWS ...
Staff Engineer, AI
Herndon, VA · On-site +1
Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. * Experience with modern ML infrastructure, including cloud services (e.g., AWS ...
Staff Engineer, AI
Herndon, VA · On-site +1
Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. * Experience with modern ML infrastructure, including cloud services (e.g., AWS ...
Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent * Experience with a designing and ...
Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent * Experience with a designing and ...
Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent * Experience with a designing and ...
Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent * Experience with a designing and ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
... Shapely, Rasterio, QGIS, and ArcPy. • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Experience with remote procedure call technologies such as gRPC ...
Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or ...
Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or ...
Shapely information
What are some common challenges faced by software engineers working on the Shapely library, and how can job seekers prepare for them?
Software engineers contributing to the Shapely library often encounter challenges related to geometric algorithms, spatial data precision, and cross-platform compatibility. Debugging complex geometry issues and ensuring robust handling of edge cases require a solid understanding of computational geometry and Python development. Collaboration with GIS professionals and open-source contributors is also a key part of the role, so strong communication skills and experience with open-source workflows are valuable. Familiarity with related libraries like GEOS and understanding spatial data formats can help job seekers excel.
What are Shapely jobs?
Shapely jobs typically refer to roles that involve working with the Shapely library, a popular Python package used for manipulation and analysis of planar geometric objects. Professionals in these positions often use Shapely for tasks in geographic information systems (GIS), spatial data analysis, and mapping. Job responsibilities may include developing geospatial applications, processing and analyzing spatial data, and integrating Shapely with other Python libraries such as GeoPandas. These roles are commonly found in industries like urban planning, environmental science, and data analytics. Having strong Python skills and experience with spatial data is usually required.
What are the key skills and qualifications needed to thrive as a Shapely web developer, and why are they important?
To thrive as a Shapely web developer, you need proficiency in web development languages such as HTML, CSS, JavaScript, and familiarity with WordPress, alongside experience with responsive design principles. Knowledge of the Shapely WordPress theme, page builders, plugins, and version control systems like Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication help developers efficiently address client needs and collaborate with teams. These skills ensure the development of attractive, functional, and user-friendly websites that meet client specifications.
What is the difference between Shapely vs GIS Analyst?
| Aspect | Shapely | GIS Analyst |
|---|---|---|
| Required Credentials | Basic programming knowledge, Python skills | Bachelor's degree in Geography, GIS, or related field |
| Work Environment | Programming, data analysis, scripting | Mapping, spatial data analysis, report creation |
| Industry Usage | Used in GIS software development and data processing | Applied in urban planning, environmental management, and more |
| Common Search Intent | Data manipulation, spatial analysis in Python | GIS data analysis, mapping projects |
Shapely is a Python library for geometric operations and spatial data manipulation, often used by developers and data analysts. GIS Analysts perform broader spatial data analysis, mapping, and reporting within GIS software. While Shapely focuses on geometric calculations, GIS Analysts handle comprehensive spatial projects. Both roles overlap in spatial data handling but differ in scope and tools used.
What are popular job titles related to Shapely jobs in Virginia? For Shapely jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Shapely jobs in Virginia look for? The top searched job categories for Shapely jobs in Virginia are:
What cities in Virginia are hiring for Shapely jobs? Cities in Virginia with the most Shapely job openings:
Full-time
Posted 10 days ago
Job description
Overview
At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.
Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior Geospatial Data Scientist in Reston, VA and remote.
Responsibilities- Identify corollary datasets to compare against model outputs, especially those with which were unlikely used as part of the training set.
- Assist in the evaluation of the effectiveness of ML models.
Required Qualifications:
- Active TS/SCI clearance with CI poly required to start
- Expert level understanding of Python, including geospatial libraries like Fiona and Shapely.
- Expert level understanding of spatial data storage formats such as ESRI GeoDatabases, shapefiles, GeoPackage, and text-based storage in spatial databases such as PostGIS.
- Ideally an understanding of storage formats and methodologies for ML models.
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
Employment Type: FULL_TIME