Remote Senior Data Scientist: Mining Analytics & Predictive ML

Placements24; Randburg; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Performance-based bonuses

Remote work

Health insurance

Professional development budget

Conference attendance

Job summary

Placements24 is seeking a Senior Data Scientist to join their team, working remotely to support mining operations globally. You will apply analytics, ML, and statistical modeling to extract insights from large datasets across exploration, production, safety, and environment, shaping data-driven strategies for resource optimization and safer operations.

Collaborate with geologists, engineers, and operations managers to translate business problems into analytical solutions, build predictive models

Qualifications

• Ph.D. or Master’s in a quantitative field (Data Science, CS, Statistics)
• 5+ years as a Data Scientist with ML/stat modeling focus
• Proficiency in Python or R and libraries (scikit-learn, TF, PyTorch)

Responsibilities

• Develop and deploy ML models for predictive maintenance, production forecasting, and ore grade estimation.
• Design statistical analysis frameworks to identify trends in operational data.
• Collaborate with geologists, engineers, and operations managers to translate problems into analytical solutions.
• Build data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
• Explore diverse data sources and ensure data quality and integrity.
• Stay updated on data science advances relevant to mining.

Skills

Python

R

Machine learning

Statistical modeling

Communication skills

Education

Ph.D./M.S. in Data Science/CS/Stats

Tools

scikit-learn

TensorFlow

PyTorch

Spark

SQL

Job description

Placements24 is seeking a Senior Data Scientist to join their team, working remotely to support mining operations globally. You will apply analytics, ML, and statistical modeling to extract insights from large datasets across exploration, production, safety, and environment, shaping data-driven strategies for resource optimization and safer operations.

Collaborate with geologists, engineers, and operations managers to translate business problems into analytical solutions, build predictive models