Senior Mining Data Scientist - Remote Analytics Lead

Placements24; Soweto; Hybrid; ZAR 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Highly competitive salary

Fully remote work

Professional development budget

Health insurance options

Cutting-edge data analytics tools

Challenging, high-impact projects

Job summary

Placements24 is seeking a highly analytical Senior Mining Data Scientist to lead remote data analytics initiatives in the mining sector. You will develop predictive models, ML solutions and AI-driven insights from large datasets, driving value across exploration, mining and processing.

You will collaborate with geologists, engineers and managers to translate business needs into data science problems, communicate findings with clear visualizations, and stay ahead of advancements in ML and

Qualifications

• Master's degree or PhD in Data Science, Statistics, Computer Science, Engineering, or related quantitative field.
• Minimum of 7 years of experience in data science, with a significant portion focused on mining or natural resources sector.
• Proficiency in Python or R and experience with Pandas, Scikit-learn, TensorFlow.
• Strong experience with SQL/NoSQL and big data platforms.
• Expertise in machine learning techniques, statistical modeling, and data visualization.
• Excellent problem-solving skills and ability to work independently in a remote, collaborative environment.

Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for mining applications (predictive maintenance, production forecasting, resource estimation).
• Analyze large, complex datasets from various sources (sensor data, geological logs, operational reports) to identify trends and opportunities.
• Build and deploy data-driven solutions to improve operational efficiency, safety, and profitability.
• Collaborate remotely with geologists, engineers, and operational managers to translate business needs into data science problems.
• Communicate complex findings and insights clearly to technical and non-technical audiences through visualizations and reports.
• Stay current with the latest advancements in data science, ML, and mining applications.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

Data Visualization

Mining domain experience

Remote collaboration

Education

Master's or PhD in Data Science / Statistics / Computer Science / Engineering

Tools

SQL

NoSQL

Big Data platforms

Job description

About the Role

Our client is seeking a highly analytical and innovative Senior Mining Data Scientist to lead their remote data analytics initiatives. This role is fully remote and will involve leveraging advanced statistical modeling, machine learning, and AI techniques to extract valuable insights from vast mining datasets. You will be responsible for developing predictive models, optimizing operational efficiency, and identifying new opportunities for value creation across exploration, mining, and processing. This is a key position for driving data-informed decision-making within the organization.

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for mining applications, such as predictive maintenance, production forecasting, and resource estimation.
• Analyze large, complex datasets from various sources (e, g., sensor data, geological logs, operational reports) to identify trends and opportunities.
• Build and deploy data-driven solutions to improve operational efficiency, safety, and profitability.
• Collaborate remotely with geologists, engineers, and operational managers to understand business needs and translate them into data science problems.
• Communicate complex findings and insights clearly and concisely to both technical and non-technical audiences through visualizations and reports.
• Stay current with the latest advancements in data science, machine learning, and their applications in the mining industry.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a significant portion focused on the mining or natural resources sector.
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Strong experience with database technologies (SQL, NoSQL) and big data platforms.
• Expertise in machine learning techniques, statistical modeling, and data visualization.
• Excellent problem-solving skills and the ability to work independently in a remote, collaborative environment.

Benefits

• Highly competitive annual salary and an exceptional bonus structure.
• Fully remote work arrangement offering maximum flexibility.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, including conferences and online courses.
• Opportunity to work on challenging, high-impact projects at the forefront of mining technology.
• Access to state-of-the-art data analytics tools and platforms.