Senior Geospatial Data Scientist

🔥 15 hours ago

🇳🇱 Netherlands – Remote

⏳ Contract/Temporary

🟠 Senior

🗺️ GIS

👻 Ghost score 10%

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Meridia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🍽️ Food & Beverage

📦 Logistics

🌾 Agriculture

💰 $5.6M Series A - Meridia on 2024-04

Food & Beverage • Logistics • Agriculture

Meridia is a technology company that provides Meridia Verify, a field-data verification platform for agri-commodity supply chains that helps buyers and suppliers confidently meet regulatory (EUDR, DCF) and voluntary commitments. The platform combines a rigorously documented, EY‑audited methodology and over a decade of field experience to validate farm-plot data, detect and prioritise supply-chain risks using satellite imagery, and guide targeted remediation. Delivered as a secure, enterprise-ready SaaS portal and API with ISO 27001 security, audit trails, and ICE CoT-ready outputs, Meridia supports integration into procurement and compliance workflows.

📋 Description

• Develop accurate, high-quality models and datasets for production area assessment and sourcing area (supply shed) analysis across multiple commodities and origin countries • 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 across different geographies and commodities • Produce a methodology and codebase • Organise all source files • Provide full documentation covering operating workflow, methodology, data sources, retrieval and licensing details • Support first-mile intelligence connecting commodity supply chains to production areas through production area assessment, supply shed modelling and traceability

🎯 Requirements

• 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 Python, R, and 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, including spatial databases such as PostGIS, GDAL/geopandas or equivalent, and handling large raster and vector datasets • Experience building reproducible, version-controlled analytical pipelines using Git; Docker/containerisation is a plus • Proven ability to document methodologies rigorously, including data provenance, assumptions, limitations and licensing • Ability to work independently in a remote setting • Strong communication skills and full professional proficiency in English • Familiarity with agri-commodity sectors and their data landscape is nice to have • Familiarity with agricultural supply chain transparency and traceability approaches, logistics, procurement and certification is nice to have • Working knowledge of EUDR, DCF/NDPE, certification schemes and related risk assessment is nice to have • Experience validating models against ground-truth or in-situ field data and communicating uncertainty is nice to have • Experience with production statistics and yield data in data-scarce environments is nice to have • Peer-reviewed publications or public technical documentation in a related domain is nice to have • Prior experience in Southeast Asia and/or Latin America is nice to have

🏖️ Benefits

• Initial 3-month engagement, with possible extension depending on progress and mutual fit • 2-3 days per week • Fully remote • Software subscriptions provided by Meridia where applicable • Monthly invoicing against agreed milestones and deliverables • Work on a data lake covering 20%+ of the world’s agricultural land, alongside a team of 70+ agriculture, data and tech experts • Direct impact on EUDR, DCF and Scope 3 compliance work