Senior Data Scientist, Australia

The job overview for the Senior Data Scientist position at KoBold Metals is to build predictive models and apply scientific computing, statistical, and physics-based methods to identify evidence of ore-forming processes and predict the locations of ore-grade mineralization. The role involves creating a worldwide dataset, quantifying uncertainty in the data and predictions, and developing software to accelerate the discovery of critical battery metals. The Senior Data Scientist will work closely with geoscientists to incorporate understanding of chemical and physical processes, create geologic predictions, design field programs, and reduce uncertainty in predictions. The goal is to make valuable discoveries by building data tools and contributing to the development of the team.

• Help develop KoBold's proprietary software exploration tools.
• Find and curate a wide variety of geospectral, 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 a range of 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.

• Extensive experience with Python's data science packages and general software engineering practices
• Collaborative software development skills (git) and familiarity with software engineering best practices like unit test/integration test suites and CICD pipelines
• Proficiency in SQL
• Ability to develop KoBold's proprietary software exploration tools
• Knowledge and experience in finding and curating geospectral, geophysical, geochemical, geologic, and geographic data and integrating it into KoBold's proprietary data system
• Expertise in building models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust
• Strong skills in creating effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features
• Proficiency in applying a range of data processing, statistical, and physics-based techniques to geoscientific data, such as computer vision and geophysical inversions
• Ability to present to and collaborate with external partners and stakeholders.

• Competitive salary range of $140,000-$210,000
• Remote work opportunity
• Equal employment opportunity and affirmative action employer
• Opportunity to work with a fast-growing early-stage company
• Dynamic work environment
• Ability to take ownership and responsibility of large projects
• Constant learning and driving insights and innovations
• Collaboration with domain experts
• Ability to independently prioritize multiple tasks effectively