Remote Senior Agricultural Data Scientist: Drive Farm Innovation

Placements24; Stellenbosch; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work flexibility

Home office setup budget

Professional development budget

Health coverage during remote work

Job summary

Placements24 seeks an experienced Senior Agricultural Data Scientist to drive data-driven farming innovations from a remote home office. You will design and deploy machine learning models that forecast yields, detect diseases, and optimize resource usage for sustainable agriculture.

Collaborate with agronomists, data engineers, and software developers worldwide, publish actionable insights, mentor junior data scientists, and shape the data strategy for scalable solutions.

Qualifications

• Master's degree or PhD in a quantitative field relevant to data science.
• 7+ years of professional data science or ML experience, with agricultural focus.
• Proficiency in Python or R and ML libraries.
• Experience with big data and cloud platforms.
• Strong communication and collaboration skills.

Responsibilities

• Develop and deploy ML models for yield forecasting and disease detection.
• Analyze large, multi-source datasets from sensors, imagery, and weather.
• Design experiments to validate models and compare approaches.
• Build robust data pipelines for ingestion and cleaning.
• Mentor junior data scientists and collaborate with cross-functional teams.
• Translate complex results into actionable insights for stakeholders.

Skills

Statistical modeling

Machine learning

Experimental design

Data visualization

Analytical thinking

Remote collaboration

Education

Master's or PhD in Data Science

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

Spark

Hadoop

AWS/Azure/GCP

Job description

Placements24 seeks an experienced Senior Agricultural Data Scientist to drive data-driven farming innovations from a remote home office. You will design and deploy machine learning models that forecast yields, detect diseases, and optimize resource usage for sustainable agriculture.

Collaborate with agronomists, data engineers, and software developers worldwide, publish actionable insights, mentor junior data scientists, and shape the data strategy for scalable solutions.