Data Scientist - Remote Sensing & ML

About Crop Analytica
Crop Analytica builds crop intelligence software on high resolution hyperspectral satellite imagery. We work with agri-input companies, financial institutions, government agencies, and enterprise agribusiness across India and Ghana.
About the role
We run 4 ML models in production: yield forecasting, crop health monitoring, growth monitoring, and SOC estimation. As a Data Scientist, you own that stack, fixes what needs fixing, and builds what comes next. You'll set the technical direction for how we use AI/ML across the product.
Responsibilities
Improve and maintain production models across crop monitoring and yield forecasting
Process and analyze multispectral and hyperspectral satellite imagery
Build ML pipelines end to end, from raw imagery to field-level insights
Own model accuracy, documentation, and deployment readiness
Must have
2-4 years working directly with satellite or remote sensing data
Geospatial Python: GDAL, Rasterio, Geo Pandas, Shapely
Spectral data processing: band analysis, reflectance calibration, spectral indices
ML model building end to end, from feature engineering to validation
Ability to identify a problem, design an approach, and ship without direction
Good to have
Deep learning for image analysis: CNNs or transformer-based models
Time-series crop data modeling
Agricultural remote sensing background
Exposure to ISRO, SAC, NRSC, QGIS, or ArcGIS
This role isn't for someone who needs a detailed spec before they start. We want someone who decides what gets built next.
Why Join Us
Work on meaningful, high-impact problems that support sustainable agriculture and food security in India and Ghana.
Hybrid work in Guntur with real technical ownership and growth opportunities in a growing agritech company.
Competitive compensation aligned with experience.
We are an equal opportunity employer and welcome applications from all qualified candidates.

How to apply

DM us and Send your resume to .