Role & responsibilities
Translate authentic Earth-science workflows into self-contained terminal benchmark tasks.
Prepare geospatial, climate, atmospheric, geological, hydrological, and oceanographic datasets.
Build reproducible computational settings with appropriate scientific libraries and command-line tools.
Create expert solutions using Python, R, Bash, Julia, or domain-specific software.
Develop tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis.
Define objective grading criteria for scientific outputs, model behavior, data transformations, and spatial or temporal accuracy.

Preferred candidate profile
Ph.D., postdoctoral experience, or equivalent advanced technical experience in Earth Sciences or a closely related field.
Robust expertise in climate science, atmospheric science, geophysics, oceanography,



geology, hydrology, remote sensing, environmental modeling, or Earth-system science.
Robust programming skills in Python, R, Julia, Bash, or another scientific programming language.
Hands-on experience with scientific data processing, numerical modeling, geospatial analysis, environmental datasets, or time-series analysis.
Comfortable working independently in Linux or terminal-based environments.
Ability to build, debug, and validate reproducible scientific computational workflows.
Strong understanding of scientific quality control, spatial and temporal data, uncertainty, and numerical accuracy.
Experience with NumPy, pandas, SciPy, xarray, rasterio, GeoPandas, Cartopy, GDAL, or similar tools is preferred.

📌 Scientific Computing Research Engineering Expert Earth Sciences Gurugram
🏢 Crossing Hurdles
📍 Gurugram