Remote Senior Data Scientist - Mining Analytics

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

About the Role

Our client is seeking a highly skilled Senior Data Scientist to join their innovative team, working remotely to support their mining operations. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to extract valuable insights from vast datasets related to exploration, production, safety, and environmental impact. You will play a key part in developing data-driven strategies to optimize resource extraction, improve operational efficiency, and enhance safety protocols across their global mining portfolio. This is an exceptional opportunity to work from anywhere while contributing to cutting-edge data science applications in the mining industry.

Key Responsibilities

• Develop and deploy machine learning models for predictive maintenance, production forecasting, and ore grade estimation.
• Design and implement statistical analysis frameworks to identify trends and patterns in operational data.
• Collaborate with geologists, engineers, and operations managers to understand data needs and translate business problems into analytical solutions.
• Build data visualizations and dashboards to communicate complex findings to both technical and non-technical stakeholders.
• Explore and integrate diverse data sources, ensuring data quality and integrity.
• Stay abreast of the latest advancements in data science, AI, and machine learning relevant to the mining sector.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proven ability to work independently and manage projects in a remote setting.
• Excellent communication and presentation skills.

Benefits

• Highly competitive salary and performance-based bonuses.
• Flexible remote work environment with full autonomy.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and conference attendance allowance.
• Opportunity to work on impactful projects that shape the future of mining technology.