Data Scientist - Staff or Senior (Australia)
Job description
Data Scientist role at KoBold Metals building predictive models and software to locate ore-grade mineralization and support AI-native mineral exploration. Senior Staff, Staff, and Senior levels are available.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Australia
What you'll 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 — from computer vision to geophysical inversions — and use the results to guide targeting efforts and inform acquisition and exploration decisions.
- Present to and collaborate with external partners and stakeholders.
- Create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty in predictions and guide the next phase of field work.
What we're looking for
- Extensive experience with Python's data science packages and general software engineering practices.
- Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
- Experience with cloud computing resources.
- Experience building predictive models, applying them to different problems, and evaluating and interpreting the results.
- Experience with data from a variety of physical systems.
- 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.
- Ability to take ownership and responsibility of large projects.
- Ability to explain technical problems to and collaborate on solutions with domain experts.
- Communicates well on a collaborative, cross-functional team.
- Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
- Ability to independently prioritize multiple tasks effectively.
- Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
- Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
- Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
- A valid passport and willingness to travel to observe our 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
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About KoBold Metals
The first AI native mineral exploration, mine development, and technology development company
KoBold Metals is an AI native mineral exploration, mine development, and technology development company. Its multidisciplinary teams of data scientists, engineers, and geologists build data systems, design new sensors, and establish workflows to develop and test subsurface predictions on exploration projects. Its first discovery, Mingomba, is a high-grade copper deposit in Zambia. KoBold runs exploration programs in eight countries.
Mission
Turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology.
Key facts
- Mineral exploration and mining
- First discovery, Mingomba, is a high-grade copper deposit in Zambia
- Runs exploration programs in eight countries
- Privately held
- All employees are expected to travel to project sites, with a minimum of one week per year
Partners & customers