Senior Data Scientist - Mining Analytics

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,100,000; Full time

Benefits offered by this job

Performance-based bonuses

Medical insurance

Pension fund

Professional development budget

Flexible hybrid work in Sandton

Job summary

Placements24 in Sandton is seeking a Senior Data Scientist to lead advanced analytics in the mining sector. You will build predictive models and data-driven solutions to optimize exploration, production, and processing, improving efficiency, reducing costs, and enhancing safety.

You will collaborate with cross-functional teams, develop data pipelines, and create dashboards to communicate insights. Hybrid work arrangements in Sandton are available, and you will mentor junior data scientists and

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum 6 years of experience as a Data Scientist, with a significant portion in an industrial or mining context.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Expertise in statistical modeling, machine learning algorithms, and data visualization tools.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical audiences, working in a hybrid capacity.

Responsibilities

• Develop and implement machine learning models for predictive maintenance, process optimization, and geological targeting.
• Analyze large datasets from various sources (sensor data, geological surveys, operational logs) to identify trends and opportunities.
• Design and build data pipelines for ETL (extract, transform, load).
• Collaborate with engineers, geologists, and operations managers to translate business needs into data science solutions.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Mentor junior data scientists and contribute to the development of the data science practice within the mining company.

Skills

Python

R

Big data

Spark

Hadoop

SQL

Machine learning

Data visualization

Communication

Mentoring

Education

Master's degree

PhD

Tools

Spark

Hadoop

scikit-learn

TensorFlow

PyTorch

Job description

About the Role

Our client is seeking an innovative Senior Data Scientist to lead their advanced analytics initiatives within the mining sector, based in the Sandton area. You will harness the power of big data to uncover insights, optimize operations, and drive strategic decision-making across exploration, production, and processing. This role involves developing predictive models, optimizing algorithms, and building data-driven solutions that enhance efficiency, reduce costs, and improve safety. You will collaborate with cross-functional teams, bridging the gap between complex data analysis and actionable business intelligence.

Key Responsibilities

• Develop and implement machine learning models for predictive maintenance, process optimization, and geological targeting.
• Analyze large datasets from various sources (e.g., sensors, geological surveys, operational logs) to identify trends and opportunities.
• Design and build data pipelines for efficient data extraction, transformation, and loading.
• Collaborate with engineers, geologists, and operations managers to understand business needs and translate them into data science solutions.
• Create compelling data visualizations and dashboards to communicate findings to stakeholders.
• Mentor junior data scientists and contribute to the development of the data science practice within the mining company .

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 6 years of experience as a Data Scientist, with a significant portion in an industrial or mining context.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Expertise in statistical modeling, machine learning algorithms, and data visualization tools.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical audiences, working in a hybrid capacity .

Benefits

• Highly competitive salary with significant performance-based bonuses.
• Comprehensive medical, dental, and vision insurance.
• Pension fund and other retirement savings options.
• Professional development budget for training and conferences.
• Flexible hybrid work arrangement offering a balance between remote work and office-based collaboration in Sandton .