Remote Data Scientist: Geospatial & AI for Mineral Discovery

Seeds Renewables; Australia; Remote; AUD 120,000 - 180,000; Full time

Job summary

KoBold Metals is hiring a Data Scientist to accelerate mineral exploration using predictive models and science-based techniques. You will work with data scientists, software engineers, and geoscientists to build 2D/3D geologic predictions and design field programs to reduce uncertainty in discoveries.

The role emphasizes scalable data tools, visualizations, and collaboration with external partners, with a remote-first setup open to Australia-based candidates.

Qualifications

• Experience building predictive models using Python and statistical methods.
• Experience with collaborative software development (Git) and CI/CD pipelines.
• Familiarity with cloud computing resources and scalable data processing.
• Ability to build and evaluate models for geospatial data and exploration problems.
• Strong background in applied statistics, Bayesian inference, and ML algorithms.

Responsibilities

• Develop KoBold’s proprietary exploration tools and data models.
• curate geophysical, geochemical, geologic, and geographic data for the data system.
• Build predictive models for ore-grade mineralization in 2D/3D.
• Create visualizations to evaluate model performance and data features.
• Apply data processing and physics-based techniques to geoscientific data and guide exploration decisions.
• Collaborate with geoscientists and external partners to advance discovery.

Skills

Python

Git

CICD

Cloud computing

Predictive modeling

Geospatial analyses

Bayesian inference

Machine learning

Data processing

Tools

Git

AWS/GCP/Azure

Job description

KoBold Metals is hiring a Data Scientist to accelerate mineral exploration using predictive models and science-based techniques. You will work with data scientists, software engineers, and geoscientists to build 2D/3D geologic predictions and design field programs to reduce uncertainty in discoveries.

The role emphasizes scalable data tools, visualizations, and collaboration with external partners, with a remote-first setup open to Australia-based candidates.