Remote Agricultural Data Scientist

Placements24; LegKraal Gate; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Health benefits

Retirement savings plan

Remote work flexibility

Job summary

Placements24 is seeking a Remote Agricultural Data Analyst to join a global team. Analyze data from sensors, satellite imagery, drone surveys, and farm software to optimize yields and resource efficiency.

This fully remote role offers flexibility and collaboration with agronomists, engineers, and clients worldwide. The ideal candidate has a strong data science background, experience with Python or R, SQL, and GIS tools, and a passion for advancing sustainable agriculture through data-driven

Qualifications

• Bachelor's or Master's degree in a quantitative field (data science, statistics, CS, agricultural sciences).
• Minimum 4 years of data analysis experience, preferably in agriculture or geospatial data.
• Proficiency in Python or R for data manipulation, analysis and visualization.
• Experience with SQL for querying databases.
• Familiarity with GIS software (ArcGIS, QGIS) and remote sensing data.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Collect, clean, and process large datasets on crop performance and farm operations.
• Develop statistical models and ML algorithms to identify trends and insights.
• Analyze data from GPS, NDVI, and precision agriculture tools to inform management.
• Create visualizations and reports for technical and non-technical stakeholders.
• Collaborate with agronomists and software engineers to implement data-driven solutions.
• Monitor data quality, integrity, and security throughout analyses.
• Stay updated on advances in agricultural data analytics and related tech.
• Provide remote support to clients using the company's data platforms.

Skills

Python

R

Education

Bachelor's or Master's in a quantitative field

Tools

ArcGIS

QGIS

Job description

Placements24 is seeking a Remote Agricultural Data Analyst to join a global team. Analyze data from sensors, satellite imagery, drone surveys, and farm software to optimize yields and resource efficiency.

This fully remote role offers flexibility and collaboration with agronomists, engineers, and clients worldwide. The ideal candidate has a strong data science background, experience with Python or R, SQL, and GIS tools, and a passion for advancing sustainable agriculture through data-driven