Lead Data Scientist - Mining Analytics

Placements24; Randburg; Hybride; ZAR 1 200 000 - 2 000 000; Plein temps

Avantages offerts par ce poste

Private healthcare coverage

Retirement plan

Relocation assistance

Résumé du poste

Placements24 is seeking a Lead Data Scientist based in Randburg, Gauteng, to head advanced analytics initiatives for mining operations. You will spearhead ML model development, data pipelines, and stakeholder communications while mentoring a team of analysts and engineers.

The role emphasizes predictive maintenance, production optimization, and data-driven decision making within a hybrid work setup, with regular on-site presence in Randburg.

Qualifications

• Master's degree or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
• Minimum of 7 years in data science with a strong focus on ML and predictive modeling.
• Proven experience leading data science projects and mentoring team members.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch.

Responsabilités

• Lead design, development, and deployment of ML models and analytics solutions for mining applications.
• Ingest, clean, and transform large datasets from sensors, logs, and surveys.
• Develop predictive models for equipment failure, production, and safety incidents.
• Mentor junior data scientists and communicate findings with stakeholders.

Connaissances

Machine learning

Leadership

Data visualization

Communication

Formation

Master's or PhD in CS/Stats/Data Science

Outils

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Description du poste

About the Role

Our client, a pioneering mining technology company, is seeking a talented and innovative Lead Data Scientist to spearhead their advanced analytics initiatives. This role is crucial for leveraging vast datasets generated from mining operations to drive operational efficiencies, predictive maintenance, and resource optimization. The successful candidate will lead a team of data scientists and engineers, developing cutting-edge algorithms and machine learning models. This is an exciting opportunity to shape the future of data-driven mining, based in the bustling metropolis of Randburg, Gauteng .

Key Responsibilities

• Lead the design, development, and implementation of machine learning models and analytical solutions for mining applications.


• Extract, clean, and transform large, complex datasets from various sources (e.g., sensors, operational logs, geological surveys).


• Develop predictive models for equipment failure, production output, and safety incidents.


• Utilize statistical analysis and data mining techniques to uncover actionable insights.


• Collaborate with domain experts (geologists, engineers) to understand business problems and translate them into data science solutions.


• Mentor and guide junior data scientists and analysts.


• Communicate complex findings and recommendations to technical and non-technical stakeholders through compelling visualizations and reports.


• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.


• Manage data science projects from conception to deployment.


• Ensure data quality, integrity, and security throughout the analytics lifecycle.

Requirements

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


• A minimum of 7 years of experience in data science, with a strong focus on machine learning and predictive modeling.


• Proven experience leading data science projects and mentoring team members.


• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).


• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).


• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.


• Excellent data visualization and communication skills.


• Familiarity with the mining industry is highly advantageous.


• Must be able to work in a hybrid capacity, with regular presence required in Randburg, Gauteng .


• Experience working in the Randburg, Gauteng area is preferred.

Benefits

• Our client offers a competitive salary, performance-based bonuses, comprehensive private healthcare coverage, and a generous retirement plan.


• The company provides significant opportunities for professional growth, continuous learning, and career advancement in a cutting-edge technological environment.


• Relocation assistance is available for suitable candidates relocating to the Randburg, Gauteng area.