Remote Agricultural Data Scientist - Precision Farming

Placements24; Queenstown; Remoto; NZD 120.000 - 180.000; Tempo integral

Benefícios oferecidos por esta vaga

Health insurance

Retirement contributions

Home office stipend

Remote flexibility

Resumo da vaga

Placements24 is seeking a Remote Agricultural Data Scientist to drive precision farming through data analytics, ML, and AI. You will collect, clean, and analyze large agricultural datasets from sensors, drones, satellites, and farm management software, delivering actionable insights for farmers worldwide.

The role offers fully remote work, global impact, collaboration with agronomists, engineers, and product teams, and the chance to advance sustainable agriculture through scalable data-driven

Qualificações

• Master's or PhD in Data Science, Computer Science, Statistics, Agronomy with a strong quantitative focus, or a related field.
• Minimum of 5 years of experience in data science, with a significant portion applied to agricultural or environmental data.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of agricultural principles and precision farming techniques.
• Excellent problem-solving, analytical, and critical thinking skills.
• Outstanding communication and collaboration skills, essential for a remote role.

Responsabilidades

• Develop ML models for crop yield prediction, disease detection, and pest forecasting.
• Analyze diverse agricultural datasets (soil, weather, imagery, operational) to identify patterns and insights.
• Design and build data pipelines for ingestion, processing, and storage.
• Develop algorithms for optimizing irrigation, fertilization, and planting strategies using real-time data.
• Collaborate with agronomists, engineers, and product managers to define data requirements and analytical approaches.
• Create data visualizations and reports to communicate findings to technical and non-technical audiences.
• Stay abreast of advances in data science, ML, and AgTech.
• Contribute to scalable, robust data-driven solutions for precision agriculture.
• Ensure data quality, integrity, and security throughout analytics.

Conhecimentos

Data science

Machine learning

Python

R

Big data

Cloud platforms

Formação

Master's or PhD in Data Science or related

Ferramentas

scikit-learn

TensorFlow

PyTorch

Pandas

Spark

Hadoop

Descrição da vaga

About the Role

Our client is a pioneering agricultural technology company seeking a highly skilled Remote Agricultural Data Scientist to join their innovative team. This fully remote position focuses on leveraging advanced data analytics, machine learning, and AI to drive precision farming initiatives worldwide. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets from various agricultural sources, including sensors, drones, satellite imagery, and farm management software. The insights generated will empower farmers to make data-driven decisions, optimize resource utilization, and enhance crop yields. This is a unique opportunity to shape the future of agriculture from anywhere, contributing to global food security and sustainability.

Key Responsibilities

• Develop and implement machine learning models for crop yield prediction, disease detection, and pest forecasting.
• Analyze diverse agricultural datasets (e.g., soil, weather, imagery, operational) to identify patterns and actionable insights.
• Design and build data pipelines for efficient data ingestion, processing, and storage.
• Develop algorithms for optimizing irrigation, fertilization, and planting strategies based on real-time data.
• Collaborate with agronomists, engineers, and product managers to define data requirements and analytical approaches.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and agricultural technology.
• Contribute to the development of scalable and robust data-driven solutions for precision agriculture.
• Ensure data quality, integrity, and security throughout the analytical process.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Agronomy with a strong quantitative focus, or a related field.
• Minimum of 5 years of experience in data science, with a significant portion applied to agricultural or environmental data.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of agricultural principles and precision farming techniques.
• Excellent problem-solving, analytical, and critical thinking skills.
• Outstanding communication and collaboration skills, essential for a remote role.
• Demonstrated ability to work independently and manage projects effectively.

Benefits

Our client offers a highly competitive salary and a comprehensive benefits package, including excellent health insurance, retirement contributions, and a home office stipend. The primary benefit is the flexibility of a fully remote role, allowing you to work from anywhere. You will be part of a forward-thinking company at the cutting edge of AgTech, contributing to impactful global solutions. Opportunities for continuous learning and professional growth within a dynamic and innovative field are abundant. This position offers a chance to shape the future of sustainable agriculture through data.