Remote Agricultural Data Scientist & Analyst

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Learning opportunities

Flexible remote work

Job summary

Placements24 seeks a highly analytical Remote Agricultural Data Scientist & Analyst to turn sensor, drone, satellite, and farm-machine data into actionable insights that boost farm efficiency, sustainability, and profitability. You will build predictive models, design dashboards, and deliver data-driven recommendations for clients across the agricultural value chain.

The ideal candidate holds a master's or PhD in a quantitative field, 5+ years in data science within agriculture, and strong

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science, Agricultural Engineering, or related quantitative field.
• 5+ years experience as a Data Scientist or Data Analyst with substantial agriculture exposure.
• Proficiency in Python or R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow.
• Strong background in statistical modeling, ML, and data mining.
• Experience with SQL/NoSQL and data warehousing concepts.
• Familiarity with agricultural data sources and visualization tools.

Responsibilities

• Collect, clean, and process large agricultural datasets from diverse sources.
• Develop, validate, and deploy predictive models for yield forecasting and resource optimization.
• Apply ML to identify patterns for improved farm management.
• Create data visualizations and dashboards for clients and stakeholders.
• Collaborate with agronomists to translate data needs into analytical solutions.
• Identify opportunities for innovation in data collection and application.

Skills

Python

R

Statistical modeling

Machine learning

Data visualization

Communication skills

Education

Master's degree or PhD in Data Science/Statistics/CS/Agri Engineering

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

SQL/NoSQL

Tableau

Power BI

Job description

About the Role

Our client, a rapidly growing AgTech company, is seeking a highly analytical and skilled Remote Agricultural Data Scientist & Analyst. This fully remote position is crucial for transforming vast amounts of agricultural data into actionable insights that drive farm efficiency, sustainability, and profitability. You will leverage advanced statistical modeling, machine learning, and data visualization techniques to interpret data from sensors, drones, satellites, and farm equipment. The ideal candidate is passionate about agriculture and possesses a strong background in data science with specific experience in the agricultural sector. This is a unique opportunity to shape the future of farming from your home office, contributing to data-driven decision-making across the agricultural value chain in South Africa and beyond.

Key Responsibilities

• Collect, clean, and process large, complex agricultural datasets from various sources.
• Develop, validate, and deploy predictive models for crop yield forecasting, disease prediction, and optimal resource allocation.
• Apply machine learning algorithms to identify patterns and trends in agricultural data, leading to improved farm management strategies.
• Create compelling data visualizations and dashboards to communicate insights to clients, farm managers, and stakeholders.
• Collaborate with agronomists and farm operations teams to understand their data needs and translate them into analytical solutions.
• Identify opportunities for innovation in data collection, analysis, and application within the agricultural sector.
• Stay current with the latest advancements in data science, machine learning, and agricultural technologies.
• Ensure data integrity, accuracy, and security across all analytical processes.
• Provide expert analysis and recommendations to support strategic decision-making for agricultural businesses.

Requirements

• A Master's degree or PhD in Data Science, Statistics, Computer Science, Agricultural Engineering, or a related quantitative field.
• A minimum of 5 years of experience as a Data Scientist or Data Analyst, with a significant portion focused on the agricultural sector.
• Proficiency in programming languages commonly used in data science, such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Strong understanding of statistical modeling, machine learning techniques, and data mining.
• Experience with database management (SQL/NoSQL) and data warehousing concepts.
• Familiarity with agricultural data sources and platforms (e.g., farm management software, IoT sensors, remote sensing data).
• Excellent data visualization skills (e.g., using tools like Tableau, Power BI, or Python libraries).
• Strong analytical and problem-solving abilities.
• Exceptional communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Must have a reliable home office setup with high-speed internet connectivity.

Benefits

• This is a fully remote position, offering unparalleled flexibility and work-life balance.
• Our client provides a highly competitive salary, commensurate with your experience and expertise, along with an attractive bonus structure.
• Comprehensive health insurance and a retirement savings plan are included.
• You will have access to continuous learning opportunities, including online courses, certifications, and attendance at relevant virtual conferences.
• Be part of an innovative company that is at the forefront of AgTech, driving positive change in agriculture through data.
• Join a supportive and collaborative remote team dedicated to making farming smarter and more sustainable.