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Meridia Land

Senior Geospatial Data Scientist

LocationFully remote
SetupRemote
LevelSenior
Postedjust now ago
Apply by2026-12-31
Engineering & Technology

Quick answer

Meridia Land is hiring a remote Senior Geospatial Data Scientist (worldwide) to develop models and datasets for production area assessment and sourcing area analysis, with a focus on agricultural applications and geospatial techniques.

Role
Senior Geospatial Data Scientist
Organization
Meridia Land
Location
Fully remote
Work setup
Remote
Level
Senior
Category
Engineering & Technology
Apply by
2026-12-31

The role

Meridia is seeking a Senior Geospatial Data Scientist to develop accurate, high-quality models and datasets for production area assessment and sourcing area analysis, leveraging in-situ farm plot datasets and combining geospatial, statistical, and ML approaches.

What you'll do

  • Develop accurate, high-quality models and datasets for production area assessment and sourcing area analysis
  • Leverage Meridia's in-situ farm plot datasets to train and validate models
  • Adapt existing machine learning models to local agricultural contexts to improve prediction accuracy
  • Create scalable and reproducible methodologies that work across different geographies and commodities

What it takes

  • Advanced degree (MSc or PhD) in Remote Sensing, Geospatial Science, Computer Science, or related field
  • 10+ years of practical experience in applying statistical and earth observation techniques to agricultural applications
  • Proficiency in programming languages commonly used in geospatial analysis and machine learning (Python, R, Google Earth Engine)
  • Knowledge of agricultural systems and supply chains in tropical and subtropical regions
  • Experience with modelling approaches relevant to supply chain analysis, such as optimisation, spatial allocation, entity matching or network analysis across heterogeneous datasets
  • Strong geospatial data engineering skills: spatial databases (e.g. PostGIS), GDAL/geopandas or equivalent, and handling of large raster and vector datasets

What you'll bring

Advanced degree (MSc or PhD) in Remote SensingGeospatial ScienceComputer Scienceor related field10+ years of practical experience in applying statistical and earth observation techniques to agricultural applicationsProficiency in programming languages commonly used in geospatial analysis and machine learning (Python

How we treat you

Software subscriptions provided by Meridia where applicable, Monthly invoicing against agreed milestones and deliverables

Frequently asked questions

Where is the job located?

Fully remote, with no specific location requirements.

What is the compensation?

Not specified in the job posting.

What are the key qualifications required?

Advanced degree in Remote Sensing, Geospatial Science, Computer Science, or related field, 10+ years of practical experience in applying statistical and earth observation techniques to agricultural applications, and proficiency in programming languages commonly used in geospatial analysis and machine learning.

How do I apply?

Please apply on Workable: https://apply.workable.com/j/739CC757DB. Your application should include a CV, a brief proposal, examples of previous work, and your day rate and availability.

How to apply

Apply directly on Meridia Land's site. We link straight through — no resume parsing, no profile to fill out.

Apply now →

This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on Meridia Land's official posting before applying.

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