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Geopandas Python Jobs in Virginia (NOW HIRING)

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

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 ...

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Geopandas Python information

What is GeoPandas in Python?

GeoPandas is an open-source Python library that simplifies working with geospatial data. It extends the popular Pandas library to enable spatial operations on geometric types, such as points, lines, and polygons. With GeoPandas, users can easily read, write, and manipulate geographic data formats like Shapefile, GeoJSON, and others. It integrates well with other libraries, such as Matplotlib for visualization and Shapely for advanced geometric operations, making it a powerful tool for geographic data analysis in Python.

What are GeoPandas used for in Python?

GeoPandas is a Python library used by geospatial data analysts and GIS professionals to simplify working with geographic data. It extends the pandas library to include spatial operations, enabling users to read, write, analyze, and visualize geospatial data such as shapefiles and GeoJSON files efficiently.

What is the difference between Geopandas Python vs GIS Analyst?

AspectGeopandas PythonGIS Analyst
Required CredentialsPython programming, GIS fundamentalsGIS certifications, degree in geography or related field
Work EnvironmentData analysis, scripting, codingMap creation, spatial data management, report generation
Industry UsageData science, software development, geospatial analysisUrban planning, environmental management, government agencies

Geopandas Python focuses on spatial data analysis using Python programming, ideal for data scientists and developers. GIS Analysts work with spatial data in various industries, often using GIS software and tools. While both roles involve geospatial data, Geopandas Python emphasizes coding and automation, whereas GIS Analysts focus on data management and visualization.

What are the key skills and qualifications needed to thrive as a Geopandas Python Developer, and why are they important?

To thrive as a Geopandas Python Developer, you need a solid foundation in Python programming, geospatial data analysis, and GIS concepts, often backed by a degree in computer science or geography. Familiarity with Geopandas, Shapely, Fiona, and other geospatial libraries, as well as experience with spatial databases and data visualization tools, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver robust geospatial solutions and collaborate with team members. These skills are critical for accurately processing spatial data, generating valuable insights, and supporting data-driven decision-making in various industries.

What are some common challenges Geopandas Python developers face when working with large geospatial datasets?

Geopandas Python developers often encounter performance limitations when processing very large geospatial datasets, as Geopandas is built on top of Pandas and can be memory-intensive. Handling operations like spatial joins, dissolves, or aggregations on millions of features may lead to slowdowns or memory errors. To address these challenges, developers frequently use techniques such as chunking data, leveraging Dask for parallel computing, or integrating with more scalable libraries like PostGIS or PyGEOS. Collaborating closely with data engineers and GIS specialists can also help optimize workflows and ensure efficient data processing.

Which Python job is in demand?

Python development roles, such as data analyst, data scientist, backend developer, and automation engineer, are currently in high demand across various industries. Skills in libraries like Pandas, NumPy, and frameworks such as Django or Flask increase employability, and certifications can enhance job prospects in this competitive field.

How to work with GeoPandas?

Working with GeoPandas involves importing the library in Python, loading spatial data using functions like read_file(), and performing geospatial operations such as plotting, spatial joins, and data manipulation. Familiarity with pandas and shapely enhances the ability to analyze and visualize geographic data effectively.
What job categories do people searching Geopandas Python jobs in Virginia look for? The top searched job categories for Geopandas Python jobs in Virginia are:
What cities in Virginia are hiring for Geopandas Python jobs? Cities in Virginia with the most Geopandas Python job openings:
Data Scientist

Data Scientist

Whitespace

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

At GeoDelphi Inc., we harness the power of commercial data to drive innovation and deliver cutting-edge solutions. As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and expert-machine teaming. Join us in transforming data into actionable intelligence that keeps pace with world events. Learn more about our mission at www.inthewhitespace.com.
We are seeking an experienced Data Scientist to deliver critical insights to our customer, TacSRT. The Tactical Surveillance, Reconnaissance, and Tracking (TacSRT) program leverages commercial satellite imagery and advanced analytics to provide timely situational awareness and operational planning products to combatant commanders. Your expertise will help support this mission by uncovering hidden activities within non-pixel data and delivering actionable information. Our ideal team member will have mathematical and statistical expertise as well as an inquisitive and creative mind. As you mine, interpret, and clean the data, we will rely on you to ask questions, connect the dots, and uncover opportunities for TacSRT and their mission. In this role, you will collaborate closely with the TacSRT team, contributing to a shared vision and making a tangible impact on national security and operational effectiveness.
On Call: There may be occasional weekend requests from the client. Our team member must be willing to be on call for weekend requirements.
The candidate MUST be a US citizen and reside in the contiguous United States. The candidate must be a W2 employee of GeoDelphi, Inc. No 3rd party applications.
Requirements
RESPONSIBILITIES
  • Collect and analyze statistics and information from multiple sources to identify trends and gain maximum insight that can give the client a competitive advantage and communicate informed conclusions and recommendations across an organization's leadership structure.
  • Strategize and identify unique opportunities to locate and collect new data.
  • Explore and mine data from many angles and determine what it means.
  • Communicate data findings to the customer to provide critical information that will assist their approach and meet the business challenges of an evolving customer base and changing marketplace, using strong business acumen.
  • Collaborate with the engineering and research & development teams to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
  • Identify and recommend new uses for existing data sources; design, modify, and build new data processes.
  • Implement new or enhance existing software designed to access and handle data more efficiently.
  • Conduct scalable data research on and off the cloud.
  • Build large and complex data sets.
  • Deliver products within a 24 to 72-hour turnaround to support missions such as Humanitarian Assistance and Disaster Relief, Economic Crisis, IUU-F fishing, etc.

EXPERIENCE
  • A minimum of 5 years of experience in data science with a focus on geospatial data analysis.
  • Conducts statistical modeling and experimental design, tests, and validates predictive models.
  • Experience with data visualization tools to deliver interactive, mission-critical products to internal and external stakeholders and clients.
  • Proven experience in supporting military tactical operations.
  • Demonstrated ability to perform effectively in high operational environments.
  • Experience with non-pixel, non-semantic sensor data (e.g., AIS, ADS-B, ADINT, etc.).

DESIRED SKILLS
  • Experience with Geographic Information Systems such as QGIS or ArcPro
  • Experience with Python geospatial data analysis tools such as GeoPandas
  • Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.
  • Specialized training from any intelligence collection and analysis school or certification to include GEOINT Professional Certification, Activity-Based Intelligence Certification.

Benefits
GEODELPHI BENEFITS
  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer-Paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan

Who we are:
GeoDelphi, Inc. dba Whitespace is building an Agentic AI, Iris, for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.
GeoDelphi Inc.. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.