Senior Geospatial Data Scientist
Kritter Software Technology · Bengaluru · onsite · Posted 2d ago
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About this role
We are looking for a skilled and deeply curious Geospatial Data Scientist to join our core intelligence team. In this role you will own the end to end geospatial science pipeline — from raw satellite pixels to village level economic intelligence — across India. This is a founding science role. You are not analysing data. You are building the system that generates intelligence at national scale. If you have deep expertise in satellite data science, a systems thinking mindset, and a passion for working at the intersection of earth observation and economic intelligence, we would love to hear from you.
Responsibilities
- Build and maintain pixel level processing pipelines across multiple satellite and geospatial data sources at national scale.
- Design and implement temporal science pipelines on satellite time series data.
- Build and validate classification and change detection models across diverse Indian geographies.
- Develop localisation frameworks calibrated to different agro climatic zones across India.
- Build structure level intelligence from satellite imagery.
- Construct proximity and connectivity intelligence frameworks at village level.
- Ensure data quality, consistency, and scalability across all geospatial pipelines at production scale.
Requirements
- 4–6 years of hands on experience in satellite data processing or remote sensing science.
- Strong Python based geospatial stack — rasterio, xarray, geopandas, dask, numpy, scipy.
- Experience with optical and radar satellite imagery processing at regional or national scale.
- Has built temporal smoothing, gap filling, or change detection pipelines on satellite time series.
- Has worked across multiple agro climatic zones in India.
- Experience with building or structure detection from satellite imagery is a strong advantage.
- Familiarity with geospatial foundation models is a strong advantage.
- Experience with OpenStreetMap data and proximity analysis.
- Strong model validation skills across diverse geographies.
- Degree in Geography, Geoinformatics, Remote Sensing, Environmental Science, Computer Science, or related field preferred.
- Background from ISRO, IIRS Dehradun, IISc, IIT or earth observation focused organisations is a strong advantage.
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