Remote Agricultural Data Scientist

Placements24; LegKraal Gate; Hybrid; ZAR 1,469,000 - 2,449,000; Full time

Benefits offered by this job

Fully remote work

Flexible schedule

Access to advanced computational tools

Job summary

Placements24 is seeking an accomplished Agricultural Data Scientist to join our client on a fully remote basis. You will leverage datasets from farming operations, environmental factors, and market dynamics to build predictive models and optimize resource allocation across the agricultural value chain.

The ideal candidate holds a Ph.D. or Master's in a quantitative field, with extensive data science experience in agriculture, and strong skills in Python/R and ML libraries.

Qualifications

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Agricultural Science with a quantitative focus, or a related field.
• Extensive experience as a Data Scientist with projects ideally in agriculture or related industry.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
• Strong knowledge of statistical modeling, machine learning algorithms, and experimental design.
• Experience with big data technologies and cloud computing platforms (AWS, Azure, GCP).
• Excellent problem-solving abilities and the capacity to work independently in a remote setting.

Responsibilities

• Design, develop, and deploy machine learning models for applications such as yield prediction, disease detection, and optimal resource management.
• Analyze large, complex agricultural datasets to extract meaningful insights and identify key drivers of performance.
• Develop data pipelines and preprocessing techniques to ensure data quality and integrity.
• Collaborate with domain experts (agronomists, farmers) to understand needs and translate them into data science solutions.
• Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, AI, and their applications in agriculture.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Pandas

Education

Master's or PhD in a quantitative field

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is looking for an accomplished Agricultural Data Scientist to join their organization on a fully remote basis. This role is critical for driving innovation in agriculture through advanced analytics and machine learning. You will leverage complex datasets from farming operations, environmental factors, and market dynamics to build predictive models, optimize resource allocation, and enhance decision-making across the entire agricultural value chain. The ideal candidate possesses a strong quantitative background, deep expertise in data science methodologies, and a passion for applying these skills to solve real-world agricultural challenges.

Key Responsibilities

• Design, develop, and deploy machine learning models for applications such as yield prediction, disease detection, and optimal resource management.
• Analyze large, complex agricultural datasets to extract meaningful insights and identify key drivers of performance.
• Develop data pipelines and preprocessing techniques to ensure data quality and integrity.
• Collaborate with domain experts (agronomists, farmers) to understand needs and translate them into data science solutions.
• Communicate complex analytical findings and recommendations to technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, AI, and their applications in agriculture.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Agricultural Science with a quantitative focus, or a related field.
• Extensive experience as a Data Scientist, with a portfolio demonstrating successful projects, ideally in agriculture or a related industry.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
• Strong knowledge of statistical modeling, machine learning algorithms, and experimental design.
• Experience with big data technologies and cloud computing platforms (AWS, Azure, GCP).
• Excellent problem-solving abilities and the capacity to work independently in a remote setting.

Benefits

• Highly competitive salary and performance-based incentives.
• Fully remote work arrangement offering ultimate flexibility and autonomy.
• Opportunity to work on cutting-edge AgTech projects with significant impact.
• Access to advanced computational resources and datasets.
• Professional development and growth opportunities in a rapidly evolving field.