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Geopandas Python Jobs in Virginia (NOW HIRING)

Deloitte

GenAI Engineer

Rosslyn, VA · On-site

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

Deloitte

GenAI Engineer

Arlington, VA · On-site

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

Guidehouse

Data Scientist Consultant (Health)

Mclean, VA · On-site

$98K - $163K/yr

Familiarity with Python Polars, GeoPandas , and automated document generation packages * Relevant certifications, such as: * Microsoft Certified: Azure Solutions Architect Expert * Databricks ...

Deloitte

Senior GenAI Engineer

Rosslyn, VA · On-site

$119.10K - $163.50K/yr

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

Deloitte

Senior GenAI Engineer

Arlington, VA · On-site

$120.20K - $165.10K/yr

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

... Python and modern ML/CV libraries such as PyTorch or TensorFlow. • Experience researching ... as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. • Experience with modern ML ...

Maxar

Applied Computer Vision Engineer (TS/SCI)

Herndon, VA · On-site

$114.70K - $135.20K/yr

Competence with Python's geospatial libraries, such as gdal, geopandas, shapely, etc. * Competence with containerization platforms (Docker, Kubernetes, OpenShift, Cloud Foundry, etc.) * Competence ...

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Geopandas Python information

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.

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 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 popular job titles related to Geopandas Python jobs in Virginia? For Geopandas Python jobs in Virginia, the most frequently searched job titles are:
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:
Geopandas Python jobs near you

Data Scientist Senior-Level 117-001

IC-CAP LLC

Springfield, VA • On-site

Full-time

Posted 14 days ago

Job description

Senior Data Scientistsupports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Education and Experience
Required:
  • Bachelors degree and 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining with Python and SQL
  • 7+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience with code repositories such as GitLab
  • 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 for data analysis
  • Experience with Grafana, Databricks, or JEMA
  • Experience with HTML, JavaScript, and CSS
  • Experience with Syntasa
  • Experience analyzing geospatially enabled data and deploying AI tools into operational software
  • Knowledge of GEOINT collection and associated systems
  • Ability to learn new technologies and adapt to dynamic mission needs

Security Clearance:
  • Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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