Remote AI-Driven Data Scientist for Precision Agriculture

Placements24; Polokwane; Hybrid; ZAR 900.000 - 1.200.000; Vollzeit

Zusammenfassung

Placements24 is seeking a Remote Precision Agriculture Specialist to lead data analytics and AI-driven farming solutions. You will design models, build pipelines, and deliver insights from weather, soil, and imagery data.

This fully remote role offers competitive annual compensation in ZAR, with opportunities to collaborate with a global team and drive measurable improvements in crop yields and resource efficiency.

Qualifikationen

• Advanced degree in a quantitative field with AI/ML focus.
• 5+ years in data analytics, ML, and statistical modeling in agriculture preferred.
• Proficiency in Python or R and ML libraries (TensorFlow, PyTorch, scikit-learn).

Aufgaben

• Analyze large agricultural datasets to identify trends and insights.
• Develop, test, and deploy ML models for predictive analytics (yield, disease).
• Design algorithms for resource management (water, fertilizer, pesticides).
• Create and maintain data pipelines for collection, cleaning, processing.
• Develop data visualization tools and dashboards for stakeholders.
• Collaborate with agronomists and farmers to translate needs into data solutions.
• Stay updated with AI and precision agriculture advances.
• Provide remote support and guidance on precision farming tools.
• Contribute to strategic direction of precision agriculture initiatives.
• Document methodologies, code, and results.

Kenntnisse

Data analytics

Machine learning

Statistical modeling

Ausbildung

Master's or Ph.D. in Data Science / related field

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Jobbeschreibung

Placements24 is seeking a Remote Precision Agriculture Specialist to lead data analytics and AI-driven farming solutions. You will design models, build pipelines, and deliver insights from weather, soil, and imagery data.

This fully remote role offers competitive annual compensation in ZAR, with opportunities to collaborate with a global team and drive measurable improvements in crop yields and resource efficiency.