Senior Geospatial Data Scientist — Remote Supply Chain

Meridia-Land; Netherlands; Remote; EUR 67,000 - 100,000; Part time

Benefits offered by this job

Fully remote

Job summary

Meridia is seeking a remote data science consultant to advance first-mile intelligence for production area and sourcing area analyses across multiple commodities and origin countries. You will adapt ML models to local contexts, train on Meridia in-situ plot data, and deliver reproducible methodologies and code.

This independent engagement is initially 3 months, 2–3 days per week, fully remote, with milestones and invoicing against deliverables.

Qualifications

• Advanced degree in Remote Sensing, Geospatial Science or related field.
• 10+ years applying statistical and earth observation techniques to agriculture.
• Proficiency in Python, R, and Google Earth Engine.
• Knowledge of tropical/subtropical agricultural systems and supply chains.
• Experience with modelling for supply chain analysis (optimization, spatial allocation, network analysis).
• Strong geospatial data engineering skills: PostGIS, GDAL/GeoPandas, large raster/vector datasets.
• Experience building reproducible analytical pipelines (Git; Docker a plus).
• Ability to document methodologies with data provenance, assumptions and licensing.
• Independent worker with strong English communication in remote settings.

Responsibilities

• Develop accurate models and datasets for production area and sourcing area analysis.
• Leverage in-situ farm plot data to train and validate models.
• Adapt ML models to local contexts to improve prediction accuracy.
• Create scalable, reproducible methodologies across geographies and commodities.
• Produce full deliverables including methodology, codebase, and documentation.

Skills

Full professional English

Education

MSc/PhD in Remote Sensing or Geospatial Science

Tools

Python

R

Google Earth Engine

PostGIS

GDAL/GeoPandas

Docker

Job description

Meridia is seeking a remote data science consultant to advance first-mile intelligence for production area and sourcing area analyses across multiple commodities and origin countries. You will adapt ML models to local contexts, train on Meridia in-situ plot data, and deliver reproducible methodologies and code.

This independent engagement is initially 3 months, 2–3 days per week, fully remote, with milestones and invoicing against deliverables.