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 environments 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.

- Strong 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