Remote Geospatial Data Scientist for Impactful ML

Openkrill; United States; Remote; USD 84,000 - 129,000; Full time

Benefits offered by this job

Remote-first work environment

Germany-wide team coordination

Flexible working hours

Home-office equipment budget

30 days vacation

Professional development opportunities

Performance bonuses

Job summary

Orcrist seeks a geospatial data scientist to develop methods for change detection, object detection, and segmentation on satellite imagery. You will work in Python and apply deep learning architectures as part of a Kubernetes-based platform used for B2B SaaS and self-hosted deployments.

Responsibilities include evaluating sensors, preprocessing, and producing traceable results with uncertainty measures, plus packaging methods for repeatable batch processing and Sentinel workflows.

Qualifications

• Formal university training in geoinformatics or related discipline with hands-on geospatial experience.
• Strong Python and scientific computing skills with NumPy, pandas, SciPy, xarray, GeoPandas, Rasterio/GDAL.

Responsibilities

• Develop change-detection workflows using Sentinel-2 time series.
• Build object-detection, segmentation, and classification methods for satellite imagery.

Skills

Python

NumPy

Pandas

SciPy

xarray

GeoPandas

Rasterio

GDAL

Machine learning

PyTorch

TorchGeo

English communication

Education

Geoinformatics/Remote Sensing/Earth Observation degree

Tools

scikit-learn

PyTorch frameworks

Dask

Spark/Sedona

Job description

Orcrist seeks a geospatial data scientist to develop methods for change detection, object detection, and segmentation on satellite imagery. You will work in Python and apply deep learning architectures as part of a Kubernetes-based platform used for B2B SaaS and self-hosted deployments.

Responsibilities include evaluating sensors, preprocessing, and producing traceable results with uncertainty measures, plus packaging methods for repeatable batch processing and Sentinel workflows.