Remote Data Scientist - Mining Analytics

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,469,000 - 2,122,000; Full time

Benefits offered by this job

Remote stipend

Health insurance

Professional development

Conferences

Global impact projects

Job summary

Placements24 is seeking a highly skilled Data Scientist for a fully remote role focusing on mining operations. You will transform large operational and geological data into actionable insights using ML, statistics, and visualization to drive efficiency, safety, and resource optimization.

You will collaborate with geologists, engineers, and operations managers, deploying models for predictive maintenance and forecasting, while maintaining data quality and communicating complex results to diverse

Qualifications

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with demonstrable mining or natural resources sector experience.
• Proficiency in Python or R, and libraries such as Scikit-learn, TensorFlow, Pandas.
• Experience with SQL, NoSQL databases, and big data technologies (Spark).
• Strong understanding of statistical modeling, ML algorithms, and data mining techniques.
• Excellent communication and presentation skills for remote settings.

Responsibilities

• Develop and deploy ML models for predictive maintenance and ore grade forecasting.
• Analyze large datasets from sensors and surveys to identify KPIs and improvement areas.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Collaborate with geologists, engineers, and ops managers on data-driven solutions.
• Clean, transform, and manage large datasets; ensure data quality and integrity.
• Stay updated on advances in data science, AI, and mining applications.

Skills

Statistical modeling

Machine learning

Data visualization

Communication

Remote collaboration

Education

Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or related field

Tools

Python

R

Scikit-learn

TensorFlow

Pandas

SQL

NoSQL

Spark

Job description

Our client is seeking a highly skilled Data Scientist with a passion for the mining industry to join their innovative team on a fully remote basis. This role is pivotal in transforming vast amounts of operational and geological data into actionable insights that drive efficiency, safety, and resource optimization. You will leverage advanced statistical modeling, machine learning, and data visualization techniques to uncover patterns and predict trends within mining operations. Working independently or collaborating with distributed teams, you will contribute to strategic decision-making, pushing the boundaries of data-driven innovation in the mining sector. This is a unique opportunity to shape the future of mining analytics from anywhere, contributing to cutting-edge projects without geographical constraints.

Key Responsibilities

• Develop and deploy machine learning models for predictive maintenance, ore grade forecasting, and operational efficiency.
• Analyze large datasets from sensors, equipment, and geological surveys to identify key performance indicators and areas for improvement.
• Create compelling data visualizations and dashboards to communicate complex findings to technical and non-technical stakeholders.
• Collaborate with geologists , engineers , and operations managers to define data-driven solutions.
• Clean, transform, and manage large datasets, ensuring data quality and integrity.
• Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist , with demonstrable experience in the mining or natural resources sector.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, Pandas).
• Experience with SQL, NoSQL databases, and big data technologies (e.g., Spark).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent communication and presentation skills, with the ability to explain technical concepts clearly in a remote setting.

Benefits

• Highly competitive salary and remote work stipend.
• Full flexibility to work from any location.
• Comprehensive health, dental, and vision insurance coverage.
• Generous allowance for professional development, conferences, and online courses.
• Opportunity to work on cutting-edge data analytics projects impacting the global mining industry.