Geospatial Data Scientist, Expert
Tasks
- Assess modeling assumptions and analytics procedures
- Build cloud native geospatial and ML pipelines
- Collaborate with business stakeholders on use cases
- Create data mining architectures and statistical reporting
- Design spatial algorithms
- Develop Python geospatial codebases
- Develop machine learning models
- Develop predictive and optimization models
- Engineer distributed geospatial workflows
- Extract, transform, load data for feature engineering
- Peer review complex models
- Prepare data for machine learning
- Present findings and recommendations
- Research geospatial data science techniques
- Write and document reusable Python functions
Perks/Benefits
Skills/Tech-stack
Apache Spark | Artificial Intelligence | Cloud Computing | Computer Vision | Data Pipelines | Data Processing | Deep learning | Distributed Computing | Feature Engineering | Geospatial Analytics | Geospatial Data | Geospatial Data Processing | Image Processing | Image analysis | Machine Learning | Model Evaluation | Python | Raster data | Remote Sensing | STAC | Spatial algorithms | Time Series | Vector data
Education
Roles
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