Remote Senior Data Scientist — Mining Analytics & Optimization

Placements24; Soweto; Híbrido; ZAR 1.000.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Flexible hours

Generous annual leave

Learning & conferences

Remote infrastructure support

Descripción de la vacante

Placements24 is seeking a Senior Data Scientist for a fully remote role in South Africa. You will drive data-driven decisions across the mining lifecycle by building advanced analytical models and insights that optimize exploration, production and processing.

You will work with large, diverse datasets, mentor junior teammates, and communicate complex results to technical and non-technical stakeholders through engaging visualizations and clear reports.

Formación

• Master's or PhD in Data Science, Statistics, CS, Math, or related field.
• 7+ years of industrial data science experience with ML in mining or related sector.
• Proficiency in Python or R and ML libraries (pandas, scikit-learn, TensorFlow, PyTorch).
• Strong SQL and big data experience (Spark, Hadoop) with cloud platforms (AWS, Azure, GCP).

Responsabilidades

• Develop, implement, and deploy ML models for mining problems.
• Clean, transform, and manage large datasets from multiple sources.
• Collaborate with geologists, engineers, and operations managers.
• Communicate findings via visualizations and reports.
• Design and run experiments to evaluate solutions.
• Mentor junior data scientists in a remote team.

Conocimientos

Python

R

Pandas

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

AWS

Azure

GCP

Tableau

Power BI

Matplotlib

Statistical modeling

Experimental design

Machine learning

Educación

Master's or PhD in Data Science or related quantitative field

Descripción del empleo

Placements24 is seeking a Senior Data Scientist for a fully remote role in South Africa. You will drive data-driven decisions across the mining lifecycle by building advanced analytical models and insights that optimize exploration, production and processing.

You will work with large, diverse datasets, mentor junior teammates, and communicate complex results to technical and non-technical stakeholders through engaging visualizations and clear reports.