Remote Agriculture Data Scientist | Predictive ML

Placements24; Durban; Híbrido; ZAR 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote work

Performance bonuses

Online courses and growth

Descripción de la vacante

Placements24 is seeking a highly analytical Data Scientist for a fully remote role within South Africa. You will analyze crop health, weather, soil, and market data to build predictive models and data-driven solutions for sustainable farming.

The position requires 3+ years in data science, a strong ML portfolio, and proficiency in Python or R, with cloud and SQL experience. Collaboration with multidisciplinary teams is essential in a distributed, remote setup.

Formación

• Master's degree or PhD in Data Science, Statistics, CS, or related quantitative field.
• 3+ years of experience as a Data Scientist with statistical modeling & ML projects.
• Proficiency in Python or R and libraries (scikit-learn, TF, PyTorch, Pandas, NumPy).

Responsabilidades

• Design and implement statistical models and ML algorithms to analyze agricultural data.
• Preprocess and integrate data from sensors, satellites, and historical records.
• Build data pipelines and ETL for agricultural datasets.
• Create visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with agronomists, researchers, and product teams on data science projects.
• Conduct exploratory data analysis to identify trends and anomalies.
• Stay current with advances in data science for agriculture.
• Document methodologies and code thoroughly.

Conocimientos

Statistical modeling

Machine learning

Python

R

SQL

Cloud platforms

Spark

Data visualization

Educación

Master's or PhD in Data Science

Herramientas

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Descripción del empleo

Placements24 is seeking a highly analytical Data Scientist for a fully remote role within South Africa. You will analyze crop health, weather, soil, and market data to build predictive models and data-driven solutions for sustainable farming.

The position requires 3+ years in data science, a strong ML portfolio, and proficiency in Python or R, with cloud and SQL experience. Collaboration with multidisciplinary teams is essential in a distributed, remote setup.