Remote Geospatial Data Scientist for Mining

Placements24; George; Hybrid; ZAR 900.000 - 1.200.000; Vollzeit

Benefits dieser Stelle

Private health insurance

Retirement plan

Professional development

Cutting-edge tools

High autonomy

Zusammenfassung

Placements24 is seeking a Remote Data Scientist with strong geospatial analytics expertise to extract actionable insights from vast geological datasets. The role focuses on mineral exploration, resource management, and operational efficiency across mining interests within South Africa.

You will build geospatial data pipelines, apply ML to spatial data, and create dashboards to communicate findings to diverse stakeholders.

Qualifikationen

• Master's degree or PhD in Data Science, Computer Science, Statistics, Geospatial Science, or a related quantitative field.
• Five+ years in data science or geospatial analytics, preferably in mining or natural resources.
• Proficiency in Python or R with libraries for data manipulation, ML, and geospatial analysis.

Aufgaben

• Develop geospatial data analysis pipelines to identify mineral prospects and optimize resource models.
• Apply ML and statistical modeling to large spatial datasets.
• Design and maintain dashboards (Tableau/Power BI) to communicate findings to stakeholders.
• Collaborate with geologists, metallurgists, and operations teams to address data challenges.
• Conduct exploratory data analysis to uncover trends and anomalies.
• Develop predictive models for resource grades and drilling success rates.
• Contribute to centralized data repository and data governance best practices.
• Stay updated with geospatial tech relevant to mining.

Kenntnisse

Python

R

Data visualization

Geospatial analytics

Remote collaboration

Problem solving

Ausbildung

Master's degree or PhD in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

GeoPandas

Rasterio

ArcGIS

QGIS

PostGIS

AWS/Azure/GCP

Spark/Hadoop

Jobbeschreibung

Placements24 is seeking a Remote Data Scientist with strong geospatial analytics expertise to extract actionable insights from vast geological datasets. The role focuses on mineral exploration, resource management, and operational efficiency across mining interests within South Africa.

You will build geospatial data pipelines, apply ML to spatial data, and create dashboards to communicate findings to diverse stakeholders.