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Co Op Lidar Data Processing Jobs (NOW HIRING)

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

LiDAR Analyst

Chesterfield, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities 1. Data Processing and Management: * Trajectory Processing: Carry out trajectory processing for airborne LIDAR missions to ensure precise foundational data. * Project Setup: Execute ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

LiDAR Analyst

Chesterfield, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities 1. Data Processing and Management: * Trajectory Processing: Carry out trajectory processing for airborne LIDAR missions to ensure precise foundational data. * Project Setup: Execute ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Experience developing application software, engineering tools, data-processing pipelines, visualization tools, or proof-of-concept applications using LiDAR data would be a significant plus.

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Description Co-op Clerk (Full-Time/Part-Time) Why Work With Us? Mariposa Food Co-op is a community ... Accurately process transactions using our point-of-sale (POS) system and handle cash with care.

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

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Co Op Lidar Data Processing information

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How much do co op lidar data processing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for co op lidar data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What cities are hiring for Co Op Lidar Data Processing jobs?

Cities with the most Co Op Lidar Data Processing job openings:

What are the most commonly searched types of Lidar Data Processing jobs?

The most popular types of Lidar Data Processing jobs are:

What states have the most Co Op Lidar Data Processing jobs?

States with the most job openings for Co Op Lidar Data Processing jobs include:

Infographic showing various Co Op Lidar Data Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Full-time

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Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.