Remote Geospatial Data Scientist - Satellite Imagery & ML

orcristtechnologies; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Remote‑first work in Germany

30 days vacation

Learning support

Job summary

orcristtechnologies is seeking a geospatial data scientist to develop methods for analyzing satellite imagery and other spatial data. The role emphasizes Python-based workflows across change detection, object detection, segmentation, and spatial-temporal analysis.

You will work with optical, multispectral, thermal, and SAR data, evaluating methods for production readiness and scalability in a remote-first setting with Germany-based teams.

Qualifications

• Formal university training in geoinformatics, remote sensing, Earth observation, or related discipline.
• Strong Python and scientific computing skills using NumPy, pandas, SciPy, xarray, GeoPandas, Rasterio/GDAL.
• Practical machine‑learning experience with scikit‑learn and PyTorch or equivalent; TorchGeo or geospatial DL packages.
• Solid understanding of remote‑sensing fundamentals including spatial, spectral, radiometric, and temporal resolution.
• Experience with satellite image analysis and at least one task such as change detection, segmentation, object detection, or land‑cover classification.
• Clear communication in English and eligibility to work in Germany.

Responsibilities

• Develop change-detection workflows over open satellite time series.
• Build and evaluate object-detection, segmentation, and classification methods for satellite imagery.
• Assess suitability of sensors, resolutions, acquisition conditions, and processing levels across optical, multispectral, thermal, and SAR data.
• Design preprocessing and feature extraction with data engineers, including masking, compositing, co-registration, normalization, and spectral indices.
• Combine raster outputs with vector and temporal data for spatial statistics, zonal analysis, and anomaly detection.
• Build or source reference datasets and evaluation protocols with cross-regional validation.
• Package tested Python methods for batch processing or inference and integrate into platform workflows.

Skills

Geospatial analysis

Remote sensing

Machine learning

Python programming

Education

Geoinformatics/related field

Tools

Python

NumPy

pandas

SciPy

xarray

GeoPandas

Rasterio

GDAL

PyTorch

TorchGeo

Job description

orcristtechnologies is seeking a geospatial data scientist to develop methods for analyzing satellite imagery and other spatial data. The role emphasizes Python-based workflows across change detection, object detection, segmentation, and spatial-temporal analysis.

You will work with optical, multispectral, thermal, and SAR data, evaluating methods for production readiness and scalability in a remote-first setting with Germany-based teams.