Data Scientist - Staff or Senior (Australia)

The role

You will build predictive models and apply scientific computing, statistical, and physics-based methods to predict ore-grade mineralization. You will develop software and data tools to accelerate the discovery of critical battery metals.

What you will do

• Help develop KoBold’s proprietary software exploration tools.
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data.
• Present to and collaborate with external partners and stakeholders.

Required qualifications

• Extensive experience with Python’s data science packages and general software engineering practices.
• Extensive experience with collaborative software development (git) and software engineering best practices like unit test / integration test suites, and CICD pipelines.
• Extensive experience with cloud computing resources.
• Extensive experience building predictive models, applying them to different problems, and evaluating and interpreting the results.
• Extensive experience with data from a variety of physical systems.
• Extensive experience with geospatial analyses and visualizations.
• Broad skills in and knowledge of applied statistics and Bayesian inference.
• Substantial understanding of machine learning algorithms.
• An advanced degree in the physical sciences, engineering, computer science, or mathematics.
• A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
• Experience leading technical teams to apply novel scientific approaches to core business problems.
• A valid passport and willingness to travel to observe work at Mingomba or at an exploration site around the world.

Nice to have

• Creating machine learning models on geospatial data
• Geostatistics
• Image processing or computer vision
• Distributed computing applications for machine learning and other computations

Benefits

• Equity
• Benefits

Before you apply

• All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia,

About the company

KoBold is an AI native mineral exploration, mine development, and technology development company. The company integrates artificial intelligence, human intelligence, and new technology to discover critical minerals.