Remote Agro-Data Scientist - Crop Yield Prediction

Placements24; Durban; Hybrid; ZAR 2.030.000 - 3.046.000; Vollzeit

Benefits dieser Stelle

Salary bonus

Remote work

Health insurance

Paid time off

Professional development

Cutting-edge projects

Equipment stipend

International team

Zusammenfassung

Placements24 is seeking a Remote Agro-Data Scientist to lead advanced data modeling for crop yield prediction and risk forecasting. You will work with satellite imagery, weather data, soil sensors, and historical records to deliver actionable insights for agricultural operations.

The role requires strong ML expertise, geospatial analysis, and experience with cloud platforms. This fully remote position offers flexible hours and global collaboration across time zones.

Qualifikationen

• Advanced degree (Masters/PhD) in Data Science, CS, Statistics, Agricultural Science, or related field.
• 5+ years of data science experience, with focus on agricultural applications or related fields.
• Proficient in Python or R with Pandas, NumPy, Scikit-learn; TensorFlow or PyTorch.
• Expert in statistical modeling, ML algorithms, and time-series analysis.
• Experience with geospatial data and remote sensing imagery.
• Familiar with cloud platforms (AWS, Azure, GCP) and big data (Spark, Hadoop).
• Strong data visualization skills (Matplotlib, Seaborn, Tableau, Power BI).
• Excellent communication and ability to work in remote teams.

Aufgaben

• Design, develop, and deploy advanced machine learning models for crop yield prediction and forecasting.
• Process and analyze large datasets from satellite imagery, IoT sensors, weather stations, and historical records.
• Identify key features to inform planting, irrigation, fertilization, and harvesting decisions.
• Develop algorithms to detect crop diseases, pests, and other risks.
• Collaborate with agronomists, engineers, and product managers to translate insights into solutions.
• Build and maintain data pipelines for ingestion, cleaning, and transformation.
• Create data visualizations and reports for technical and non-technical stakeholders.
• Stay updated on advances in data science and agri-tech; contribute to new data-driven products.
• Ensure data quality, integrity, and security in analytical processes.

Kenntnisse

Data science

Python

R

Machine learning

Time-series

Geospatial data

Remote sensing

Cloud computing

Big data

Data visualization

Ausbildung

Masters/PhD

Tools

TensorFlow

PyTorch

Pandas

NumPy

Scikit-learn

Tableau

Power BI

Spark

Hadoop

GIS tools

Jobbeschreibung

About the Role Our client is a pioneering agricultural technology firm seeking a highly analytical and forward-thinking Remote Agro-Data Scientist to join their globally distributed team. This position is entirely remote, offering the flexibility to work from anywhere, though a strong understanding of agricultural practices in diverse regions is essential. You will be responsible for developing and implementing sophisticated data models to predict crop yields, identify optimal planting strategies, and forecast potential risks such as disease outbreaks or weather impacts. This role involves leveraging vast datasets, including satellite imagery, weather patterns, soil sensor data, and historical yield information, to drive data-informed decision‑making across the agricultural value chain. The ideal candidate will possess a unique blend of statistical expertise, machine learning proficiency, and a passion for agricultural innovation. As a fully remote employee, you will collaborate extensively with virtual teams across different time zones, utilizing cutting‑edge collaboration tools.

Key Responsibilities

• Design, develop, and deploy advanced machine learning models for crop yield prediction and forecasting.
• Process and analyze large, complex datasets from various sources, including satellite imagery, IoT sensors, weather stations, and historical agricultural records.
• Identify key features and patterns within agricultural data to inform planting, irrigation, fertilization, and harvesting decisions.
• Develop algorithms to detect and predict crop diseases, pest infestations, and other agricultural risks.
• Collaborate with agronomists, software engineers, and product managers to translate data insights into practical agricultural solutions.
• Build and maintain data pipelines for efficient data ingestion, cleaning, and transformation.
• Create compelling data visualizations and reports to communicate complex findings to both technical and non‑technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and agricultural technology.
• Contribute to the development of new data‑driven products and services for the agricultural sector.
• Ensure data quality, integrity, and security in all analytical processes.

Requirements

• Master's degree or PhD in Data Science, Computer Science, Statistics, Agricultural Science, or a related quantitative field.
• 5+ years of experience in data science, with a significant portion focused on agricultural applications or related fields (e.g., environmental science, remote sensing).
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and time-series analysis.
• Experience working with geospatial data and remote sensing imagery.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Strong analytical and problem-solving abilities, with a keen eye for detail.
• Excellent written and verbal communication skills, particularly for explaining technical concepts.
• Demonstrated ability to work independently and collaboratively in a remote team environment.

Benefits

• Highly competitive salary with annual performance-based bonuses.
• Flexible working hours and a fully remote work setup.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and holidays.
• Professional development budget for courses, conferences, and certifications.
• Opportunities to work on cutting-edge agricultural technology projects.
• Company-provided equipment and home office stipend.
• A collaborative and supportive international team culture.