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Trainee Geospatial Data Scientist Jobs in Texas (NOW HIRING)

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

TX · On-site

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

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Trainee Geospatial Data Scientist information

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Infographic showing various Trainee Geospatial Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

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


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.