Geospatial Scientist

Encardio Rite; India; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Encardio Rite in Delhi offers a Hybrid, full-time Geospatial Scientist role focusing on geospatial data, remote sensing, GIS, and GeoAI applications. You will process satellite and aerial datasets, develop scalable geospatial solutions, and collaborate with data scientists and engineers.

Requirements include a PhD or related field and 4+ years in GIS/remote sensing, with hands-on raster/vector experience and ML knowledge.

Qualifications

• PhD in geospatial science or related field.
• 4+ years of relevant geospatial experience.
• Hands-on with raster and vector data.
• Experience with satellite imagery or Earth observation datasets.
• Knowledge of statistics, spatial modeling, and/or machine learning.
• Strong analytical and problem-solving abilities.

Responsibilities

• Process, analyze, and interpret large-scale geospatial datasets.
• Develop remote-sensing workflows for spatial and temporal analysis.
• Work with raster, vector, satellite imagery, DEM, LiDAR, SAR datasets.
• Develop spatial models, algorithms, and analytical methodologies.
• Apply ML techniques to geospatial problems.
• Conduct spatial validation and accuracy assessment.
• Collaborate with engineering to deploy scalable geospatial solutions.
• Document methodologies and workflows.
• Stay updated with GIS, EO, GeoAI developments.

Skills

Python

SQL

R/C++

Education

PhD in Geospatial Science

Tools

QGIS

ArcGIS

AWS

Google Earth Engine

Job description

Job Description:

Job Description: Geospatial Scientist

Department: Edge Technology Center

Location: Delhi (Hybrid)

Job Type: Permanent (Full-Time)

No. of Positions: 1

Experience: 4–6 Years

Position/ Designation: Geospatial Scientist

About The Role

We are looking for a skilled and analytical Geospatial Scientist to work on geospatial data, remote sensing, GIS, spatial analytics, and geospatial AI applications. The role involves processing and analyzing satellite, aerial, raster, vector, and other spatial datasets to develop accurate, scalable, and actionable geospatial solutions.

The candidate will collaborate with data scientists, software engineers, GIS specialists, and domain experts to develop geospatial models, analytical workflows, and data products for real-world applications.

Key Responsibilities

• Process, analyze, and interpret large-scale geospatial and Earth observation datasets.
• Develop Remote-sensing workflows for spatial and temporal analysis.
• Work with raster, vector, satellite imagery, DEM, LiDAR, SAR, and other geospatial datasets.
• Develop spatial models, algorithms, and analytical methodologies.
• Perform image classification, feature extraction, change detection, segmentation, and other remote-sensing analyses.
• Apply statistical and machine-learning techniques to solve geospatial problems.
• Conduct spatial validation, accuracy assessment, and uncertainty analysis.
• Collaborate with engineering and product teams to convert scientific solutions into scalable applications.
• Document methodologies, workflows, assumptions, experiments, and results.
• Stay updated with developments in GIS, remote sensing, Earth observation, GeoAI, and spatial data science.

Key Deliverables

• High-quality geospatial datasets and analytical outputs.
• Spatial models and algorithms for business/product applications.
• Remote-sensing and satellite imagery analysis outputs.
• Accurate spatial-temporal models and insights.
• Data-quality and accuracy assessment reports.
• Technical documentation for geospatial methodologies and workflows.
• Production-ready geospatial solutions in collaboration with engineering teams.

Qualifications

• Phd degree in Geospatial Science, Geography, Remote Sensing, GIS, Earth Science, Environmental Science, Computer Science, Data Science, or a related field.
• 4+ years(Including Phd TA Ship) of relevant experience in geospatial science, GIS, remote sensing, spatial analytics, or a related field.
• Hands‑on experience working with raster and vector geospatial data.
• Experience with satellite imagery or other Earth observation datasets.
• Knowledge of statistical analysis, spatial modeling, and/or machine learning.
• Strong analytical and problem-solving abilities.

Technical Skills

• Programming: Python, SQL; R/C++ is an advantage.
• GIS Tools: QGIS, ArcGIS, or equivalent.
• Remote Sensing: Satellite imagery processing, image classification, feature extraction, change detection, multispectral/SAR analysis.
• Cloud/Platforms: AWS, Azure, GCP, or Google Earth Engine.
• AI/ML: Machine Learning, Deep Learning, Computer Vision, GeoAI/Spatial AI.
• Data Formats: GeoTIFF, Shapefile, GeoJSON, KML, NetCDF, HDF, Cloud-Optimized GeoTIFF, STAC.

Soft Skills

• Strong analytical and scientific thinking.
• Excellent problem-solving and decision-making skills.
• Attention to detail and commitment to data accuracy.
• Ability to work independently and collaboratively.
• Strong communication and technical documentation skills.
• Ability to explain complex geospatial concepts to non-technical stakeholders.
• Proactive approach to research and learning.
• Strong ownership and accountability.
• Ability to work effectively in a fast-paced, multidisciplinary environment.