Remote Agricultural Data Scientist

Placements24; Gqeberha; Hybrid; ZAR 420,000 - 700,000; Full time

Benefits offered by this job

Remote work

Home office allowance

Health insurance

Professional development

Performance incentives

Job summary

Placements24 is seeking a highly analytical Remote Crop Production Analyst to join its agricultural division. The role focuses on analyzing vast datasets on crop yields, soils, weather, and farming practices from a remote setting to drive strategic decisions for sustainable production.

You will develop models, interpret results, and deliver clear insights through reports and dashboards, supporting stakeholders across regions and collaborating with agronomists and farm managers.

Qualifications

• Degree in Data Science, Statistics, Agricultural Economics or Agronomy.
• Experience in data analysis, modeling and visualization.
• Proficiency in Python/R/SQL and BI tools.
• Excellent communication and ability to work remotely.

Responsibilities

• Collect, clean, and analyze large agricultural datasets using statistical software and databases.
• Develop predictive models to forecast crop yields and optimize planting strategies.
• Interpret complex data and present findings through reports, dashboards, and presentations to stakeholders.
• Collaborate with agronomists, researchers, and farm managers to understand data needs and provide analytical support.
• Monitor industry trends and apply new analytical methodologies to enhance crop production insights.
• Maintain data integrity and ensure accuracy and reliability of outputs.

Skills

Data analysis

Statistical modeling

Data visualization

Remote work

Education

Data Science degree

Tools

R

Python

SQL

Tableau

Power BI

Job description

Placements24 is seeking a highly analytical Remote Crop Production Analyst to join its agricultural division. The role focuses on analyzing vast datasets on crop yields, soils, weather, and farming practices from a remote setting to drive strategic decisions for sustainable production.

You will develop models, interpret results, and deliver clear insights through reports and dashboards, supporting stakeholders across regions and collaborating with agronomists and farm managers.