Remote Data Analyst - Crop Monitoring & Yield Prediction

Placements24; LegKraal Gate; Hybrid; ZAR 550,000 - 850,000; Full time

Benefits offered by this job

Performance-based bonuses

Home office setup allowance and gear

Generous paid time off

Professional development opportunities

Conference attendance

Job summary

Placements24 is recruiting a highly analytical Remote Data Analyst for an innovative AgriTech client focused on crop management through data. You will process and interpret satellite imagery, sensor data, and farm records to guide decisions and optimize yield.

This fully remote team collaborates across continents to advance sustainable farming. The role requires strong data science skills, experience with Python or R, and a passion for agriculture.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science, Agricultural Science (with a strong data focus), or a related quantitative field.
• Minimum of 4 years of professional experience in data analysis, with a significant focus on agricultural data or remote sensing applications.
• Strong proficiency in programming languages such as Python or R, including data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow).

Responsibilities

• Collect, clean, and preprocess diverse agricultural datasets, including satellite imagery, weather data, soil data, and farm management records.
• Develop and implement statistical models and machine learning algorithms for crop health monitoring and yield prediction.
• Analyze trends and patterns in agricultural data to identify risks and opportunities for farmers.
• Create data visualizations and reports to communicate findings to technical and non-technical stakeholders.
• Collaborate with agronomists to define data requirements and analytical approaches.
• Contribute to data pipelines and analytical tools and monitor model performance.

Skills

Python

R

SQL

Data analysis

Communication

Education

Master's degree

PhD

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

GIS software

Earth Engine

Job description

About the Role

Our client, a cutting-edge AgriTech firm focused on revolutionizing crop management through data, is seeking a highly analytical Remote Data Analyst to join their dynamic and entirely remote team. This role is critical in processing, analyzing, and interpreting vast amounts of agricultural data, including satellite imagery, sensor readings, and farm records, to provide actionable insights on crop health, growth, and yield predictions. The ideal candidate will be proficient in data science techniques, statistical modeling, and possess a keen understanding of agricultural principles. This is an outstanding opportunity to work with state-of-the-art technology and contribute to improving global food production and sustainability from the comfort of your home office. You will collaborate closely with a diverse international team of agronomists, data scientists, and software engineers, driving innovation in agricultural analytics. Our client fosters a remote-first culture that emphasizes collaboration, continuous learning, and professional growth. We are looking for a proactive, detail-oriented individual with a passion for leveraging data to solve complex agricultural challenges. Your work will directly influence farming decisions and optimize resource allocation.

Key Responsibilities

• Collect, clean, and preprocess diverse agricultural datasets, including satellite imagery, weather data, soil data, and farm management records.
• Develop and implement statistical models and machine learning algorithms for crop health monitoring, growth analysis, and yield prediction.
• Analyze trends and patterns in agricultural data to identify potential risks and opportunities for farmers.
• Create compelling data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Collaborate with agronomists and other team members to define data requirements and analytical approaches.
• Contribute to the development and refinement of data processing pipelines and analytical tools.
• Monitor the performance of analytical models and conduct regular updates and re-calibrations.
• Stay informed about the latest advancements in data science, machine learning, and their applications in agriculture.
• Ensure data accuracy, integrity, and security throughout the analysis process.
• Provide technical insights and support for product development and client-facing initiatives.

Requirements

• A Master's degree or PhD in Data Science, Statistics, Computer Science, Agricultural Science (with a strong data focus), or a related quantitative field.
• Minimum of 4 years of professional experience in data analysis, with a significant focus on agricultural data or remote sensing applications.
• Strong proficiency in programming languages such as Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Experience with database management and SQL.
• Solid understanding of statistical modeling, machine learning techniques, and their application to predictive analytics.
• Familiarity with geospatial data and analysis tools (e.g., GIS software, Earth Engine) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex findings clearly.
• Proven ability to work independently and collaboratively in a remote team setting.
• A genuine interest in agriculture and sustainable food production.

Benefits

• Highly competitive salary and performance-based bonuses.
• Full remote work flexibility, allowing you to work from anywhere.
• Opportunity to work with leading-edge AgriTech and data analysis tools.
• Collaborative and innovative international work environment.
• Professional development opportunities, including training and conference attendance.
• Contribution to solutions for global food security and sustainability.
• Home office setup allowance and equipment.
• Generous paid time off.