Remote Agricultural Data Scientist: Predictive Analytics

Placements24; Bloemfontein; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Stock options

Health insurance

Professional development

Remote-friendly culture

Job summary

Placements24 is seeking an innovative Agricultural Data Scientist to join a pioneering team, working entirely remotely from home. You will collect, clean, analyze, and interpret large agricultural datasets to drive data-driven strategies for farm efficiency, sustainability, and profitability.

Lead data modeling, ML-driven yield forecasting, and cross-functional collaboration with agronomists and engineers. Embrace cutting-edge agtech in a remote setting with strong growth and development

Qualifications

• Master's or Ph.D. in a quantitative field.
• 5+ years of data science experience.
• Proficiency in Python or R and libraries such as Pandas, NumPy, Scikit-learn.
• Experience with big data technologies and SQL/NoSQL databases.
• Familiarity with agricultural concepts is desirable.
• Excellent communication skills for remote work.

Responsibilities

• Develop and implement data models and algorithms for agricultural datasets.
• Design data pipelines for collecting, processing, and storing data from sensors, satellites, and farm records.
• Apply machine learning to forecast yields, detect diseases, and optimize resource allocation.
• Create dashboards and reports to communicate findings to stakeholders.
• Collaborate with agronomists, farmers, and software engineers to translate insights into actions.
• Identify opportunities to improve data collection and analytics for efficiency and sustainability.
• Stay updated on advances in data science and agricultural technology.

Skills

Statistical modeling

Machine learning

Data mining

Python

R

Data visualization

Education

Masters degree

PhD

Tools

Pandas

NumPy

Scikit-learn

SQL

NoSQL

Job description

Placements24 is seeking an innovative Agricultural Data Scientist to join a pioneering team, working entirely remotely from home. You will collect, clean, analyze, and interpret large agricultural datasets to drive data-driven strategies for farm efficiency, sustainability, and profitability.

Lead data modeling, ML-driven yield forecasting, and cross-functional collaboration with agronomists and engineers. Embrace cutting-edge agtech in a remote setting with strong growth and development