Remote Agricultural Data Scientist

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

About the Role

Our client is seeking an innovative Agricultural Data Scientist to join their pioneering team, working entirely remotely. This role is central to harnessing the power of big data to drive insights and improvements across agricultural operations. You will be responsible for collecting, cleaning, analyzing, and interpreting vast datasets related to crop yields, weather patterns, soil conditions, and market dynamics. Your expertise will help shape data-driven strategies for optimizing farm efficiency, sustainability, and profitability, contributing to the future of precision agriculture from your home base.

Key Responsibilities

• Develop and implement data models and algorithms to analyze agricultural datasets, identifying key patterns and correlations.
• Design and build data pipelines for collecting, processing, and storing agricultural data from various sources (sensors, satellites, farm records).
• Utilize machine learning techniques to develop predictive models for crop yield forecasting, disease detection, and optimal resource allocation.
• Visualize data and present complex findings through clear, compelling reports and dashboards to stakeholders.
• Collaborate with agronomists, farmers, and software engineers to translate data insights into actionable recommendations.
• Identify opportunities for data collection and analysis to improve operational efficiency and sustainability.
• Stay current with advancements in data science, machine learning, and agricultural technology.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Agricultural Science with a quantitative focus, or a related field.
• Proven experience (5+ years) in data science, with a focus on statistical modeling, machine learning, and data mining.
• Proficiency in programming languages commonly used in data science, such as Python or R, and related libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with big data technologies and database management (SQL, NoSQL).
• Familiarity with agricultural concepts, data types, and challenges is highly desirable.
• Excellent problem-solving skills and the ability to communicate technical concepts to non-technical audiences in a remote setting .

Benefits

• Highly competitive salary and potential for stock options.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, conferences, and online courses.
• Flexible working hours and a supportive, collaborative remote culture.
• Opportunity to work on cutting-edge projects at the intersection of agriculture and technology.