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Geopandas Jobs (NOW HIRING)

Tata Consultancy Service Limited

GIS Architect

Seattle, WA · On-site

$140K - $160K/yr

... GDAL, GeoPandas, ArcPy) and perform advanced spatial analysis, including clustering, spatial regression applications. • Support deployment and performance tuning of GIS servers, portals, and ...

Tata Consultancy Service Limited

GIS Architect

Oakland, CA · On-site

$140K - $160K/yr

... GDAL, GeoPandas, ArcPy) and perform advanced spatial analysis, including clustering, spatial regression applications. • Support deployment and performance tuning of GIS servers, portals, and ...

Prophecy Technologies

GIS Architect

Oakland, CA · On-site

... GeoPandas, and ArcPy • Perform advanced spatial analysis including clustering, spatial regression, and geospatial modeling • Support deployment, monitoring, and performance tuning of GIS servers ...

Planet

Visiting Staff Scientist

San Francisco, CA · On-site

... GeoPandas) and deep learning frameworks. • Experience building automated pipelines for preprocessing and labeling planetary-scale datasets. • A history of leading research labs and a desire to ...

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

... geopandas, shapely) or equivalent • Experience with a designing and implementing a wide variety of geospatial trajectory processing, analysis (e.g., forecasting), and visualization approaches • ...

Deloitte

GenAI Engineer

Arlington, VA · On-site

... GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK, spaCy, and Gensim. Company : Deloitte is a business consulting company that ...

Stantec

Transportation Analyst (Modeling)

Denver, CO · On-site

$85K - $119K/yr

Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas. * Understanding of travel demand modeling concepts and typical application procedures. * Strong quantitative, analytical, and problem ...

Bayer

$120K - $150K/yr

... Geopandas for data aggregation; using Matplotlib & Seaborn for data analysis & visualization; using PyMC for Bayesian statistical modeling & inference; using Sklearn & XGboost for machine learning ...

Planet

Visiting Staff Scientist

San Francisco, CA · On-site

Expert-level Python skills and experience with the scientific stack (xarray, Dask, NumPy, Rasterio, GeoPandas) and deep learning frameworks. • Scale-Minded Research: Experience building automated ...

Overstory

Hands-on experience with frameworks like PyTorch, TensorFlow, XGBoost, or LightGBM, and data tools like Dask, Spark, or GeoPandas * Familiarity with GCP and Vertex AI, or similar cloud-based ML ...

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Geopandas information

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

To excel as a Geopandas Data Analyst, you need a solid background in geospatial analysis, Python programming, and data visualization, often supported by a degree in geography, GIS, or data science. Familiarity with Geopandas, Jupyter Notebooks, QGIS, and spatial databases is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex spatial data and present insights clearly. These competencies are crucial for transforming geographic data into actionable information for decision-makers.

What is GeoPandas?

GeoPandas is an open-source Python library that makes working with geospatial data in Python easier. It extends the popular pandas library to allow spatial operations on geometric types, such as points, lines, and polygons. GeoPandas enables users to perform spatial joins, plot geographic data, and read or write different geographic file formats like Shapefiles and GeoJSON. This library is widely used in fields such as geography, urban planning, and data science for geospatial analysis.

What are some common challenges faced when working with large geospatial datasets in a GeoPandas role?

When working with large geospatial datasets in a GeoPandas-focused role, a common challenge is managing performance and memory usage. GeoPandas is built on top of pandas and shapely, which can struggle with very large or complex geospatial files, leading to slow processing times or even memory errors. Professionals in this role often address these issues by optimizing workflows, using spatial indexing, or integrating GeoPandas with other tools like Dask or PostGIS to handle scalability. Staying up to date with best practices and understanding the limitations of the GeoPandas ecosystem is crucial for efficiently managing large-scale spatial data projects.

What is the difference between Geopandas vs QGIS Developer?

AspectGeopandasQGIS Developer
Required credentialsPython programming, GIS knowledgeGIS certifications, programming skills
Work environmentPython scripts, data analysisDesktop GIS applications, custom plugin development
Employer and industry usageData analysis firms, research institutionsGIS consulting, environmental agencies
Common search and comparison intentData processing, spatial analysisMap creation, GIS application development

Geopandas is primarily used for spatial data analysis and manipulation within Python, ideal for data scientists and analysts. QGIS Developers focus on creating and customizing GIS applications using QGIS software. While both roles involve GIS, Geopandas emphasizes scripting and data analysis, whereas QGIS Developers work on application development and interface customization.

More about Geopandas jobs
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What job categories do people searching Geopandas jobs look for? The top searched job categories for Geopandas jobs are:
Geopandas jobs near you
Infographic showing various Geopandas job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.
Senior Data Scientist, Forecasting

Senior Data Scientist, Forecasting

Gridware

San Francisco, CA • On-site

$180K - $200K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description:
As a Senior Data Scientist, you will be directly embedded into Gridware's operations and analytics team and play a critical role in helping forecast weather based events, staffing of analysts, and gain a deeper understanding of how dynamic Gridware's operations center can be.
Responsibilities
  • Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload.
  • Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns.
  • Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories.
  • Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring.
  • Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions.
  • Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.
Required Qualifications
  • 5+ years of experience building and deploying models into production environments
  • Experience with forecasting models
  • Strong programming skills with demonstrated proficiency in Python and SQL
  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
  • Experience working cross-functionally with operations or business stakeholders
Bonus Qualifications
  • Experience working with weather data
  • Experience with Geospatial tooling (GIS tools, GeoPandas, etc.)
$180,000 - $200,000 a year
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training 
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