Data Scientist - Staff or Senior (Australia) · KoBold Metals

Fri, 17 Apr 2026 12:39:51 GMT
Engineering

KoBold Metals · Remote · $140,000 - $240,000 (USD) plus equity and benefits · remote
We are hiring a Data Scientist to help accelerate our mission. In this role, you will build predictive models and apply scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold's world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities: * 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 our targeting efforts and inform our acquisition and exploration decisions. * Present to and collaborate with our external partners and stakeholders.