Remote Exploration Data Scientist

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Health insurance

Flexible working hours

Remote work

Professional development budget

Generous annual leave

Job summary

Placements24 seeks a Remote Exploration Data Scientist to join a remote-first team. The role targets mining and exploration data, leveraging ML to improve targeting and resource estimation. Primary collaboration with geoscience experts and data engineers enables scalable analytics in a flexible, globally distributed environment.

The ideal candidate brings 5+ years of data science experience, strong Python or R skills, and hands-on work with big data and cloud platforms.

Qualifications

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Geosciences, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a proven track record in applying ML to complex datasets.
• Proficiency in Python or R, and experience with relevant libraries such as scikit-learn, TensorFlow, PyTorch.

Responsibilities

• Develop and implement machine learning models for predictive exploration targeting and anomaly detection.
• Analyze large geological, geochemical, and geophysical datasets to identify patterns and trends.
• Build data visualization tools and dashboards to communicate insights to stakeholders.
• Collaborate with geologists and geophysicists to define data requirements and refine analyses.
• Automate data processing pipelines and ensure data quality.

Skills

Data science

Machine learning

Python

R

Big data

Education

Master's or PhD in Data Science/CS/Statistics/Geosciences

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS/Azure/GCP

Job description

About the Role

Our client is seeking a talented and motivated Remote Exploration Data Scientist to join their innovative team. This position is fully remote, allowing you to contribute from anywhere. You will leverage advanced data analytics, machine learning, and statistical modeling techniques to extract actionable insights from vast geological and geophysical datasets. The goal is to enhance mineral exploration targeting, improve resource estimation accuracy, and drive strategic decision-making for future mining ventures. This role offers a unique opportunity to work with cutting-edge technology and large-scale data in a flexible, remote-first environment , contributing significantly to discoveries in the Eastern Cape region and beyond.

Key Responsibilities

• Develop and implement machine learning models for predictive exploration targeting and anomaly detection.
• Analyze large, complex geological, geochemical, and geophysical datasets to identify patterns and trends.
• Build data visualization tools and dashboards to communicate exploration insights effectively to stakeholders.
• Collaborate with geologists and geophysicists to define data requirements and refine analytical approaches.
• Automate data processing pipelines and ensure data quality and integrity.
• Stay abreast of the latest advancements in data science, AI, and their applications in mineral exploration.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Geosciences, or a related quantitative field.
• 5+ years of experience as a Data Scientist, with a proven track record in applying ML to complex datasets.
• Proficiency in programming languages such as Python or R, and experience with relevant 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, data mining, and machine learning algorithms.
• Excellent communication skills and the ability to explain technical concepts to non-technical audiences.

Benefits

• Highly competitive salary and performance-based bonuses, paid remotely.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and location, supporting a true remote work lifestyle.
• Generous annual leave and professional development budget.
• Opportunity to shape the future of exploration technology from anywhere, impacting Eastern Cape resource development.