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Geopandas Python Jobs in Washington (NOW HIRING)

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus. Proficiency with AMOD tools, any experience with networking, HTML ...

Gormat

Data Scientist 3

Annapolis Junction, MD

Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus. Proficiency with AMOD tools, any experience with networking, HTML ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus. Proficiency with AMOD tools, any experience with networking, HTML ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/yr

Experience with Pandas data frames and aggregation using Python is required. Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow ...

Gormat

Data Scientist 4

Annapolis Junction, MD

Experience with Pandas data frames and aggregation using Python is required. Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Experience with Pandas data frames and aggregation using Python is required. Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow ...

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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 Washington? For Geopandas Python jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Geopandas Python jobs in Washington look for? The top searched job categories for Geopandas Python jobs in Washington are:
Geopandas Python jobs near you

Data Scientist 3

Gormat

Annapolis Junction, MD • On-site

$132K - $147K/yr

Full-time

Posted 24 days ago

Job description

We are seeking a Data Scientist with experience in SIGINT. This role requires compiling various data sources via computer scripting, statistical analysis, and data modeling along with proficiency with API interaction and reading/using/building tools to retrieve data. Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus. Proficiency with AMOD tools, any experience with networking, HTML with Bootstrap experience, or Pyodide experience are also a plus. You will be working in a team based setting, so a strong self starter is needed. Having experience with SIGINT data collection or completing military 450/451 courses is a plus.
The Level 3 Data Scientist shall possess the following capabilities:
  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • Experience leveraging AI/ML techniques for optimization, automation and collection processing. (Willing to send to courses to teach as a tradeoff for a strong DS without it)
  • Requires proficiency with API interaction; reading/using/building tools to retrieve data.
  • Data frame and aggregation experience using Python is required.
  • Data Visualization capabilities with Plotly, Shapely, GeoPandas is a plus.
  • XKS/DX proficiency and an understanding of dataflow is a plus.
  • Splunk, SQL, Elastic, Kibana or Networking experience is a plus.
  • Front end web development using bootstrap (HTML) or Pyodide are also a plus.
  • Having experience or background with SIGINT data collection is a plus.

Qualifications:
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
  • Python using Jupyter notebooks and Pandas proficiency is required and data visualization with Shapely, GeoPandas or Plotly is a plus.
  • Proficiency with AMOD tools, any experience with networking, HTML with Bootstrap experience, or Pyodide experience are also a plus.
  • You will be working in a team based setting, so a strong self starter is needed.
  • Having experience with SIGINT data collection or completing military 450/451 courses is a plus.

TS/SCI with polygraph is required.

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