Remote Precision Agriculture Data Scientist

Placements24; South Africa; Remote; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Competitive salary

Professional development

Job summary

Placements24 is seeking a Remote Agricultural Data Scientist to advance precision farming through data-driven insights. You will analyze large agricultural datasets, build predictive models, and communicate findings to agronomists and farm managers.

You will work with IoT sensors, drones, satellite imagery, and weather data, iterating experiments to improve crop yields and farm profitability while collaborating with engineers to deploy models.

Qualifications

• Master's or PhD in Data Science, Statistics, CS, Agronomy or related field.
• Proven experience with large datasets and predictive modeling.
• Proficiency in Python or R and ML libraries; strong statistical foundation.
• Experience with SQL/NoSQL and big data tech (Spark/Hadoop).

Responsibilities

• Develop, implement, and maintain statistical models and ML algorithms for yield prediction.
• Process and integrate IoT sensors, drone, satellite, and weather data.
• Design experiments to validate models and quantify business impact.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with software engineers to deploy models in production.
• Stay current with advances in data science and precision farming.

Skills

Data science

Python

R

Machine learning

Statistics

SQL/NoSQL

Big data analytics

Communication

Education

Master's or PhD in Data Science/Statistics/CS/Agronomy

Tools

scikit-learn

TensorFlow

PyTorch

SQL

NoSQL

Spark

Hadoop

Job description

Placements24 is seeking a Remote Agricultural Data Scientist to advance precision farming through data-driven insights. You will analyze large agricultural datasets, build predictive models, and communicate findings to agronomists and farm managers.

You will work with IoT sensors, drones, satellite imagery, and weather data, iterating experiments to improve crop yields and farm profitability while collaborating with engineers to deploy models.