Remote Exploration Data Scientist

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 1,468,000 - 2,936,000; Full time

Benefits offered by this job

Bonuses

Remote work

Health coverage

Home office setup

Professional development

Job summary

Placements24 is seeking a Remote Exploration Data Scientist to join a mining division. You will analyze geological, geochemical, and geophysical data to identify mineral targets and optimize exploration strategies, leveraging ML, statistics, and data pipelines.

Requirements include a Master’s or PhD in a quantitative field, 5+ years of data science experience (preferably geoscience/mining), Python or R, cloud platforms, and data visualization with Tableau/Power BI.

Qualifications

• Master's degree or PhD in Data Science, Statistics, CS, or related field.
• 5+ years data science experience, preferably in geoscience/mining.
• Proficient in Python or R with ML libraries like Pandas/Scikit-learn.
• Experience with cloud platforms and data visualization tools.

Responsibilities

• Develop ML models for predictive targeting of mineral deposits.
• Perform advanced statistical analysis on exploration data.
• Build data pipelines for large, diverse datasets.
• Visualize results and communicate findings to geologists and management.
• Collaborate with geologists and geophysicists to define data needs.

Skills

Data science

Python

R

Machine learning

Statistical modeling

Data visualization

Education

Master's degree

PhD

Tools

SQL

NoSQL

AWS

Azure

GCP

Tableau

Power BI

Pandas

Scikit-learn

TensorFlow

Job description

About the Role

Our client is seeking a talented Remote Exploration Data Scientist to join their innovative mining division. This fully remote position allows you to leverage advanced data analytics, machine learning, and statistical modeling to drive exploration success from anywhere. You will analyze vast geological, geochemical, and geophysical datasets to identify new mineral targets, optimize exploration strategies, and improve resource discovery rates. This role is perfect for a data-driven professional who is passionate about uncovering the Earth's hidden resources and thrives in a flexible, results-oriented work environment, contributing to cutting-edge exploration techniques.

Key Responsibilities

• Develop and implement machine learning models for predictive targeting of mineral deposits using diverse geological datasets.
• Perform advanced statistical analysis on exploration data to identify trends, anomalies, and potential high-value areas.
• Design and build data pipelines for ingesting, cleaning, and transforming large, complex datasets from various sources.
• Visualize exploration data and model results to communicate key findings effectively to geologists and management.
• Collaborate with exploration geologists and geophysicists to define data requirements and analytical approaches.
• Stay abreast of the latest advancements in data science, machine learning, and their applications in mineral exploration.

Requirements

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience (5+ years) in data science roles, with a strong preference for experience in the geoscience or mining industry .
• Expertise in programming languages such as Python or R, and libraries for data manipulation, analysis, and machine learning (e.g., Pandas, Scikit-learn, TensorFlow).
• Experience with database technologies (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP).
• Excellent data visualization skills and experience with tools like Tableau or Power BI.

Benefits

• Highly competitive salary and potential for performance-based bonuses.
• Fully remote work arrangement with flexibility in working hours.
• Comprehensive health, dental, and vision insurance plans.
• Generous allowance for home office setup and professional development.
• Opportunity to work on cutting-edge mineral exploration projects impacting global resource discovery.