Remote Data Scientist - Mining Analytics

Placements24; Centurion; Hybrid; ZAR 900,000 - 1,200,000; Full time

Job summary

Placements24 is seeking a highly skilled Data Scientist to join a fully remote team focused on advanced analytics in the mining sector. You will develop predictive models, optimize processes, and extract actionable insights from vast mining datasets to inform strategic decisions for exploration, operations, and processing.

You should have a strong statistical background, ML expertise, and the ability to translate complex findings into clear recommendations for stakeholders.

Qualifications

• Master's or PhD in a quantitative field (Data Science, Statistics, CS).
• 5+ years as a Data Scientist in mining/resources or related sectors.
• Proficiency in Python or R and ML libraries; strong SQL and big data tech.
• Experience with cloud platforms and ML Ops principles.

Responsibilities

• Develop, train, and deploy ML models for predictive maintenance and optimization.
• Analyze large mining datasets (geological, operational, sensor data).
• Design A/B tests and statistical analyses to validate hypotheses.
• Collaborate with engineers and geologists to identify data opportunities.
• Communicate findings to technical and non-technical stakeholders.
• Build data pipelines and dashboards to monitor KPIs.

Skills

Python

R

SQL

Machine learning

Statistical analysis

Education

Master's or PhD in Data Science

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

ML Ops

Job description

About the Role

Our client is looking for a highly skilled and innovative Data Scientist to join their fully remote team, focusing on advanced analytics within the mining sector. This position is central to driving data-informed decision-making across exploration, operations, and processing. You will be instrumental in developing and implementing predictive models, optimizing processes, and extracting actionable insights from vast datasets generated by mining activities. The role demands a strong statistical background, expertise in machine learning, and the ability to translate complex data findings into clear, strategic recommendations for stakeholders. This is a unique opportunity to shape the future of mining through data science in a flexible, remote environment.

Key Responsibilities

• Develop, train, and deploy machine learning models for predictive maintenance, resource forecasting, and process optimization.
• Analyze large, complex datasets from various mining operations (geological, operational, sensor data).
• Design and conduct A/B tests and statistical analyses to validate hypotheses and measure impact.
• Collaborate with domain experts, engineers, and geologists to identify key business challenges and data opportunities.
• Communicate complex analytical findings and recommendations effectively to both technical and non-technical audiences.
• Build and maintain data pipelines and visualization dashboards to monitor key performance indicators.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with demonstrable experience in the mining or resources industry .
• Proficiency in Python or R, and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) and ML Ops principles.
• Excellent communication and remote collaboration skills .

Benefits

• Highly competitive salary and annual bonus structure.
• Full remote work flexibility, allowing you to work from anywhere.
• Comprehensive health insurance coverage.
• Generous budget for professional development, conferences, and training.
• Opportunity to work on cutting-edge projects impacting the global mining industry.