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# Geospatial Data Scientist

- **Company:** TECHNIFY INC
- **Location:** United States (Remote available)
- **Salary:** $80,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Data Analysis, Big Data, Python (Programming Language), Machine Learning, Sensor Fusion, Spatial Data Infrastructures, Feature Engineering, Geospatial Data Abstraction Library (GDAL), Machine Learning Operations, Lidar
- **Published:** August 1, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/od7k0n5uot

## About the Role

* Strong background in geospatial / spatial data science
 * Experience working with Python and geospatial libraries (GeoPandas, GDAL, Rasterio etc.)
 * Solid understanding of machine learning and statistical modelling
 * Experience working with complex or large-scale datasets
 * Ability to work in a cross-functional engineering environment

Nice to Have

 * Experience with sensor data (radar, LiDAR, satellite, RF, etc.)
 * Knowledge of tracking or filtering techniques (e.g. Kalman Filters, Bayesian methods)
 * Background in remote sensing or sensor fusion
 * Experience deploying models into production systems

## Description

You'll be working as part of a newly formed data science team, focusing on spatial analytics and multi-sensor data fusion.

This role sits at the intersection of machine learning, geospatial data, and mathematical modelling, with a strong emphasis on solving real-world problems.

What You'll Be Doing

 * Developing algorithms for spatial data correlation and fusion
 * Analysing and integrating multi-sensor datasets (radar, LiDAR, RF, imagery, etc.)
 * Building machine learning models for classification, regression, and tracking
 * Applying statistical techniques to quantify uncertainty and improve predictions
 * Performing feature engineering and dimensionality reduction on spatial data
 * Building tools to visualise and validate model outputs
 * Working closely with engineers to deploy models into production systems


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