Senior Remote Crop Modeling Data Scientist

Placements24; United States; À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Remote work

Research leadership

Professional development budget

Flexible working hours

Powerful computing resources

Résumé du poste

Placements24 is seeking a remote Agricultural Data Scientist specializing in crop modeling. This role focuses on developing predictive models to optimize crop yields, resource use, and risk assessment, leveraging weather, soil, and satellite data.

You will work with a global team of scientists and engineers, using Python or R, TensorFlow/PyTorch, and crop simulation tools to translate large datasets into actionable insights for farmers and agri-businesses.

Qualifications

• PhD or Master’s in a quantitative field with modeling focus.
• 5+ years of experience building and deploying predictive models in agriculture.
• Strong Python/R, ML libraries, and HPC experience.
• Experience with large weather, soil, and remote sensing data.
• Familiarity with crop simulation models (DSSAT/APSIM) preferred.

Responsabilités

• Design and implement advanced crop growth and yield models.
• Leverage weather, soil, and satellite data to calibrate models.
• Develop data pipelines for agricultural datasets.
• Communicate insights to technical and non-technical stakeholders.
• Collaborate with agronomists and researchers across teams.
• Publish and contribute to data-driven decision support tools.

Connaissances

Python

R

TensorFlow

PyTorch

Time-series analysis

Spatial analysis

Data visualization

Formation

PhD in Data Science / Statistics / Agricultural Science

Master's degree in a quantitative field

Outils

DSSAT

APSIM

Scikit-learn

SciPy

GIS

Description du poste

Placements24 is seeking a remote Agricultural Data Scientist specializing in crop modeling. This role focuses on developing predictive models to optimize crop yields, resource use, and risk assessment, leveraging weather, soil, and satellite data.

You will work with a global team of scientists and engineers, using Python or R, TensorFlow/PyTorch, and crop simulation tools to translate large datasets into actionable insights for farmers and agri-businesses.