We are looking for a skilled and deeply curious Remote Sensing / Geospatial Data Scientist to join our core intelligence team at Aroscop, the team behind PRAGGATI, our rural intelligence platform.

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: multiple satellite sources, years of time series, and billions of rows of spatial data, processed, validated, and refreshed in production.

If you have deep expertise in satellite science, strong data engineering instincts, 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 Sentinel-1, Sentinel-2, Landsat , VIIRS, and other geospatial data sources at national scale, using Google Earth Engine and Python.
- Design and implement temporal science pipelines on satellite time series, including compositing, cloud masking, smoothing, gap filling, and change detection.
- Build and validate classification, detection, and estimation models across diverse Indian geographies.
- Develop localisation frameworks calibrated to different agro climatic zones across India.




- Build structure level intelligence from satellite imagery, including detection, stage, height, and age of built structures.
- Construct proximity and connectivity intelligence frameworks at village level.
- Engineer scalable data infrastructure to process, store, and query billions of rows of spatial and temporal data efficiently.
- Ensure data quality, consistency, versioning, and scalability across all geospatial pipelines at production scale.
- Evaluate new data sources, high resolution imagery, and geospatial foundation models as the platform grows.

Requirements

- 4–6 years of hands on experience in satellite data processing or remote sensing science.
- Robust Google Earth Engine and Python geospatial stack: rasterio, xarray, geopandas, dask, numpy, scipy.
- Experience with optical and radar satellite imagery ( Sentinel, Landsat , or similar) at regional or national scale.
- Has built temporal smoothing, gap filling, or change detection pipelines on satellite time series.
- Strong data engineering skills: SQL, large scale data processing (dask, Spark, or similar), Parquet or columnar formats, and cloud data warehouses (Snowflake, BigQuery, or similar).
- Has built pipelines that run reliably in production, not just one-off analyses.
- Strong model validation skills across diverse geographies.

📌 Senior Geospatial Scientist (Bengaluru)
🏢 Kritter Software Technology
📍 Bengaluru