Remote Senior Data Scientist - Mining Analytics

Placements24; Vereeniging; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Benefits offered by this job

Fully remote work

Flexible hours

Development budget

Generous leave

Challenging projects

Job summary

Placements24 is seeking a Senior Data Scientist to join a remote-first mining analytics team. You will build predictive models for ore grade, equipment performance, and operational efficiency, leveraging large, diverse datasets and cutting-edge ML techniques.

You will collaborate with domain experts, design experiments, and communicate insights to stakeholders, driving data-informed decisions across global operations.

Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field.
• Minimum of 6 years of professional experience in data science and machine learning.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch.
• Strong experience with SQL and database technologies.
• Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of statistical modeling, experimental design, and data visualization.

Responsibilities

• Develop, train, and deploy ML models for prediction, classification, and optimization in mining context.
• Analyze large datasets from geological, operational, and sensor data.
• Collaborate with domain experts to identify data-driven solutions to business challenges.
• Design and implement A/B tests to evaluate model performance and impact.
• Communicate findings clearly to technical and non-technical stakeholders.
• Stay abreast of advancements in data science, ML, and AI.

Skills

Python

R

SQL

Spark

Hadoop

TensorFlow

PyTorch

Statistical modeling

Experiment design

Data visualization

Education

Master's or PhD in Data Science or related

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative team, working remotely. This role will focus on leveraging advanced analytics and machine learning techniques to extract valuable insights from complex mining datasets. You will play a key part in developing predictive models for ore grade, equipment performance, and operational efficiency, driving data-informed decision-making across the organization. This is a unique opportunity to apply cutting-edge data science methodologies in the mining industry from a remote-first work environment, contributing to strategic improvements and operational excellence across their global operations.

Key Responsibilities

• Develop, train, and deploy machine learning models for prediction, classification, and optimization tasks in a mining context.
• Analyze large datasets from various sources, including geological, operational, and sensor data.
• Collaborate with domain experts to identify key business challenges and opportunities for data-driven solutions.
• Design and implement A/B tests and experiments to evaluate model performance and business impact.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science and machine learning.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and database technologies.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Excellent understanding of statistical modeling, experimental design, and data visualization techniques.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Fully remote work arrangement with flexible hours.
• Generous annual leave and paid time off.
• Budget for professional development, conferences, and training.
• Opportunity to work on challenging, impactful projects with a forward-thinking company.