Remote Agricultural Data Scientist

Placements24; Pretoria; Híbrido; ZAR 850 000 - 1 300 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote position

Competitive salary and incentives

Challenging projects in a growing, agr

Access to state-of-the-art data tools

Continuous learning and development

Health, dental, and vision insurance

Generous paid time off and holidays

Resumo da oferta

Placements24 is recruiting a Remote Agricultural Data Scientist to transform diverse agricultural data into actionable insights. You will build ML models, work with satellite imagery, weather, soil sensors, and historical crop data, and collaborate with agronomists and engineers from a fully remote setup.

The role emphasizes advanced analytics, predictive modeling, and visualization to support sustainable farming and higher crop yields on a global scale.

Qualificações

• Master's or Ph.D. in Data Science, CS, Statistics, Agricultural Science with a strong quantitative focus, or a related quantitative field.
• Minimum of 5 years of professional experience in data science with a proven track record in developing and deploying ML models.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.
• Strong experience with SQL and NoSQL databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data tech (Spark).
• Experience with geospatial data analysis and remote sensing is highly desirable.
• Excellent analytical, problem-solving, and communication skills.
• Strong ability to work remotely and collaborate across distributed teams.

Responsabilidades

• Design and implement advanced statistical and ML models to analyze agricultural data for yields, disease prediction, resource optimization, and climate impact.
• Process and clean large, complex datasets from diverse sources for analytics.
• Develop and maintain data pipelines for continuous ingestion and analysis.
• Collaborate with agronomists and researchers to define problems and interpret model outputs.
• Create data visualizations and reports for technical and non-technical stakeholders.
• Contribute to new data-driven products and services in agriculture.
• Stay updated on advances in data science applied to agriculture.
• Participate in code reviews and knowledge sharing in a remote environment.
• Develop scalable algorithms for large-scale agricultural data challenges.
• Assist in designing agricultural experiments and leveraging data for research directions.

Conhecimentos

Python

R

SQL

NoSQL

Cloud platforms

Spark

Geospatial analysis

Remote sensing

Machine learning

Data visualization

Formação académica

Master's or Ph.D. in Data Science / CS / Statistics / Agricultural Science

Ferramentas

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Descrição da oferta de emprego

About the Role

Our client, a forward-thinking agricultural analytics firm, is seeking a highly skilled and motivated Remote Agricultural Data Scientist to join their innovative, fully remote team. This role is integral to transforming vast amounts of agricultural data into actionable intelligence that drives sustainable farming practices and improves crop yields globally. You will leverage your expertise in machine learning, statistical modeling, and data visualization to uncover insights from diverse data sources, including satellite imagery, weather patterns, soil sensor data, and historical crop performance records. As a remote-first position, you will collaborate with a distributed network of agronomists, researchers, and engineers, contributing to the development of predictive models and decision-support tools. This is an exceptional opportunity for a data science professional passionate about applying advanced analytical techniques to solve complex challenges in the agriculture sector and contribute to a more sustainable food future, all from your home office.

Key Responsibilities

• Design, develop, and implement advanced statistical and machine learning models to analyze agricultural data for insights into crop yields, disease prediction, optimal resource allocation, and climate impact.
• Process and clean large, complex datasets from various sources, ensuring data quality and integrity for analytical purposes.
• Develop and maintain data pipelines and workflows for continuous data ingestion and analysis.
• Collaborate with domain experts (agronomists, soil scientists) to define analytical problems and interpret model outputs in a biological and agricultural context.
• Create compelling data visualizations and reports to communicate findings and recommendations to technical and non-technical stakeholders.
• Contribute to the development of new data-driven products and services that enhance agricultural decision-making.
• Stay abreast of the latest advancements in data science, machine learning, AI, and their applications in agriculture.
• Participate actively in code reviews, knowledge-sharing sessions, and contribute to the team's best practices in a remote environment.
• Develop scalable and efficient algorithms and solutions for large-scale agricultural data challenges.
• Contribute to the design and analysis of agricultural experiments, leveraging data to inform research directions.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Agricultural Science with a strong quantitative focus, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a proven track record in developing and deploying machine learning models.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and NoSQL databases.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark).
• Experience with geospatial data analysis and remote sensing data is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills, with experience working effectively in a remote team setting.
• Demonstrated ability to work independently, manage priorities, and meet deadlines in a fully remote role.
• A passion for agriculture and a desire to apply data science to address global food security and sustainability challenges.

Benefits

• Fully remote position with the flexibility to work from anywhere.
• Highly competitive salary and performance-based incentives.
• Opportunity to work on challenging and impactful projects in a rapidly growing sector.
• Access to state-of-the-art data science tools and technologies.
• Continuous learning and professional development opportunities.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Be part of a mission-driven company dedicated to advancing agricultural innovation.