Senior Data Scientist - Mining Analytics - Remote

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Salary bonus

Health insurance

Development budget

Fully remote

Impactful projects

Job summary

Placements24 is seeking aSenior Data Scientist to lead advanced analytics in the mining sector, leveraging datasets from exploration to processing. This fully remote role focuses on building sophisticated models to predict trends, optimize efficiency, and reduce costs while ensuring safety.

You will collaborate with cross-functional teams, mentor junior scientists, and drive data-informed decision-making across the organization, using Python/R, ML frameworks, and cloud technologies.

Qualifications

• Master's or PhD in a quantitative field (Data Science, Statistics, CS)
• 7+ years of professional data science or ML experience
• Proficiency in Python or R and SQL
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with Spark, Hadoop and cloud platforms (AWS, Azure, GCP)
• Strong problem-solving and data-driven insight skills in mining industry

Responsibilities

• Develop and implement ML models for predictive maintenance, process optimization, and resource forecasting
• Analyze large, complex datasets from sensors, geological surveys, and production logs
• Design and execute experiments to validate hypotheses and measure impact
• Collaborate with engineers, geologists, and operations teams to identify business problems and opportunities
• Communicate findings clearly to technical and non-technical stakeholders
• Mentor junior data scientists and contribute to the team's technical roadmap

Skills

Python

R

SQL

ML frameworks

Big data

Cloud platforms

Communication

Education

Master's or PhD in Data Science, Statistics, Computer Science, or related quantitative field

Tools

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is looking for a highly accomplished Senior Data Scientist to spearhead their advanced analytics initiatives within the mining sector. This fully remote role offers the unique opportunity to leverage vast datasets from exploration, operations, and processing to uncover insights, predict trends, and drive data-informed decision-making across the organization. You will work with cutting-edge technologies and collaborate with cross-functional teams to build sophisticated models that optimize efficiency, reduce costs, and enhance safety. This is a perfect position for a seasoned data scientist seeking to make a significant impact in a challenging and evolving industry, all from the convenience of a remote workspace.

Key Responsibilities

• Develop and implement machine learning models for predictive maintenance, process optimization, and resource forecasting.


• Analyze large, complex datasets from various sources (e.g., sensors, geological surveys, production logs).


• Design and execute A/B tests and other experiments to validate hypotheses and measure impact.


• Collaborate with engineers, geologists, and operations teams to identify key business problems and opportunities for data science solutions.


• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.


• Mentor junior data scientists and contribute to the team's technical roadmap.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.


• Minimum of 7 years of professional experience in data science or machine learning.


• Strong proficiency in programming languages such as Python or R, and SQL.


• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).


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


• Excellent problem-solving abilities and a passion for uncovering data-driven insights in the mining industry.

Benefits

• Highly competitive salary and annual performance bonuses.


• Comprehensive health, dental, and vision insurance.


• Generous budget for professional development, conferences, and online courses.


• Fully remote position with flexible working hours.


• Opportunity to work on impactful projects at the forefront of mining technology.