Remote Data Scientist - Mining Analytics

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Health insurance

Home office setup allowance

Professional development budget

Job summary

Placements24 is seeking a Remote Data Scientist to join our analytics team focused on the mining sector. You will work on large, diverse datasets to uncover insights, build predictive models, and drive data-informed decisions across exploration, operations and resource management.

The role emphasizes remote collaboration with geologists, engineers and analysts worldwide, leveraging Python/R, ML techniques and cloud platforms to deliver impactful results.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science or related field.
• 5+ years of professional data science experience with impact.
• Strong Python or R programming and ML/visualization libraries.
• Experience with big data tools and cloud platforms.

Responsibilities

• Develop and implement ML models to predict grades, failures, and efficiency.
• Process and analyze large mining datasets from multiple sources.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with geologists, engineers, and analysts on data needs.
• Stay updated on data science advances and best practices.
• Contribute to company-wide data strategy and governance.

Skills

Python

R

Statistical modeling

Machine learning

Data visualization

Communication

Spark

Hadoop

AWS

Azure

GCP

Education

Master's degree or PhD in Data Science, Statistics, Computer Science

Tools

Spark

Hadoop

AWS

Azure

GCP

Pandas

Scikit-learn

Job description

About the Role

Our client is seeking a talented and innovative Remote Data Scientist to join their advanced analytics team, focusing on the mining industry . This fully remote position allows you to leverage vast datasets to uncover insights, build predictive models, and drive data-informed decision-making across exploration, operations, and resource management. You will work with cutting-edge tools and technologies, collaborating virtually with geologists, engineers, and business analysts worldwide. This role is ideal for a self-motivated professional who excels in a remote setting and is passionate about applying data science techniques to solve complex problems in the mining sector, contributing to efficiency and discovery.

Key Responsibilities

• Develop and implement machine learning models and statistical analyses to predict mineral grades, equipment failures, and operational efficiencies.
• Clean, process, and analyze large, complex datasets from various mining sources (geological, operational, sensor data).
• Design and build data visualizations and dashboards to communicate key findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and identify opportunities for data-driven improvements.
• Stay current with the latest advancements in data science, machine learning, and their applications in the mining sector.
• Contribute to the development of a company-wide data strategy and best practices for data management and analysis.

Requirements

• Master's degree or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a proven track record of delivering impactful analytical solutions.
• Strong programming skills in Python or R, including libraries for data manipulation, machine learning, and visualization.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent communication and collaboration skills, with the ability to work effectively in a distributed team environment.

Benefits

• Highly competitive remote salary and performance bonuses.
• Flexible working hours and the ability to work from anywhere.
• Comprehensive health, dental, and vision insurance plans.
• Generous home office setup allowance and professional development budget.
• Opportunity to work on challenging and impactful projects in the global mining industry.