Geospatial Data Scientist — ML & Time-Series (Remote)

Orcrist; United States; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

30 days vacation

Learning support

Job summary

Orcrist in the US is seeking a geospatial ML engineer to develop change-detection workflows including Sentinel-2 time series and to build ML models for object detection, segmentation and classification.

You will collaborate with data engineers on preprocessing, feature extraction, and packaging Python methods for repeatable batch processing, delivering traceable results with uncertainty measures. This remote-first role offers generous vacation and learning support.

Qualifications

• Formal university training in geoinformatics or related field.
• Strong Python and scientific computing skills.
• Practical machine learning experience with scikit-learn and PyTorch.

Responsibilities

• Develop change-detection workflows including Sentinel-2 time series.
• Build and evaluate object-detection, segmentation, and classification methods.
• Assess sensor suitability and data quality limitations.
• Work with data engineers on preprocessing and feature extraction.
• Package Python methods for repeatable batch processing.
• Deliver traceable results with uncertainty measures.

Skills

Python

Scientific computing

Education

Geoinformatics or related field

Tools

scikit-learn

PyTorch

Job description

Orcrist in the US is seeking a geospatial ML engineer to develop change-detection workflows including Sentinel-2 time series and to build ML models for object detection, segmentation and classification.

You will collaborate with data engineers on preprocessing, feature extraction, and packaging Python methods for repeatable batch processing, delivering traceable results with uncertainty measures. This remote-first role offers generous vacation and learning support.