Agricultural Data Scientist

Placements24; Pretoria; Hybrid; ZAR 850,000 - 1,150,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Health, dental, vision insurance

Professional growth opportunities

Conference attendance

Job summary

Placements24 is seeking an Agricultural Data Scientist to transform sensor data, satellite imagery, weather, and soil data into actionable farming insights. You will build predictive models for yield, disease detection, and crop optimization, creating dashboards for farmers and agronomists, collaborating with engineers and domain experts.

Hybrid work in Pretoria area. Join a cutting-edge agtech environment focused on sustainable farming, with opportunities for growth and impact across diverse

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Agriculture, or a related quantitative field.
• Proven experience as a Data Scientist with a portfolio of relevant projects.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Strong knowledge of machine learning, statistical modeling, and data mining techniques.

Responsibilities

• Collect, clean, and process large datasets from agricultural sources (IoT sensors, drones, weather stations).
• Develop and implement ML models for crop yield prediction, disease detection, and anomaly identification.
• Create data visualizations and dashboards for stakeholders including farmers and agronomists.
• Collaborate with software engineers and agricultural experts to integrate data-driven solutions.
• Design and analyze experiments to test new agricultural technologies and strategies.
• Stay updated on advancements in data science, ML, and agricultural tech.

Skills

Python

R

Pandas

NumPy

Machine learning

Statistical modeling

Data mining

Big data

Experiment design

Education

Master's or PhD in Data Science, CS, Statistics, Agriculture or related quantitative field

Tools

AWS

Azure

GCP

SQL

Spark

Job description

About the Role

Our client is a pioneering agricultural technology company seeking a talented Agricultural Data Scientist to join their innovative team, which operates across various locations including Pretoria, Gauteng. This role is critical in transforming vast amounts of agricultural data into actionable insights that drive better decision-making in farming practices, resource management, and crop optimization. You will work with diverse datasets, including sensor data, satellite imagery, weather patterns, and soil analysis, to build predictive models and analytical solutions. This is a prime opportunity for a data-savvy professional to apply their skills to real-world agricultural challenges, contributing to more efficient, sustainable, and productive farming.

Key Responsibilities

• Collect, clean, and process large datasets from various agricultural sources (e.g., IoT sensors, drones, weather stations).
• Develop and implement machine learning models for crop yield prediction, disease detection, and anomaly identification.
• Create data visualizations and dashboards to communicate complex findings to stakeholders, including farmers and agronomists.
• Collaborate with software engineers and agricultural experts to integrate data-driven solutions into client platforms.
• Design and analyze experiments to test the effectiveness of new agricultural technologies and strategies.
• Stay updated on the latest advancements in data science, machine learning, and agricultural technology.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Agriculture, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of relevant projects.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Understanding of agricultural principles and data sources is highly desirable.

Benefits

• Competitive salary with annual performance reviews and bonuses.
• Flexible working options, including hybrid arrangements.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional growth and attending industry conferences.
• A collaborative environment focused on leveraging technology for a sustainable future.