Staff Data Scientist

The job overview for the Staff Data Scientist position at KoBold Metals is to build predictive models and apply scientific computing methods to identify evidence of ore-forming processes and predict the locations of ore-grade mineralization. The role involves developing software tools, curating geoscientific data, creating visualizations, and applying data processing techniques to guide targeting efforts and inform exploration decisions. The Staff Data Scientist will work closely with a team of data scientists and geoscientists to make valuable discoveries and contribute to building data tools from the ground up.

• 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, including familiarity with git and software engineering best practices like unit test/integration test suites and CICD pipelines
• Knowledge of cloud computing resources
• Ability to build predictive models, apply them to different problems, and evaluate and interpret the results
• Proficiency in finding and curating various geospectral, geophysical, geochemical, geologic, and geographic data and integrating it into a proprietary data system
• Expertise in creating effective visualizations for evaluating model performance and facilitating interaction with underlying data and key features
• Experience in developing and applying data processing, statistical, and physics-based techniques to geoscientific data, such as computer vision and geophysical inversions
• Strong presentation and collaboration skills with external partners and stakeholders.

• Competitive salary range of $175,000-$275,000
• Remote work opportunity
• Opportunity to work with a team of industry experts in exploration geoscience, data science, software engineering, operations, and business personnel
• Chance to contribute to the transition to a low-carbon economy
• Access to a global portfolio of more than 50 exploration properties
• Partnership opportunities with major companies in the natural resources industry
• Opportunity to work on cutting-edge exploration technology built by data scientists and software engineers
• Chance to make valuable discoveries and solve scientific problems
• Ability to work with world-renowned geoscientists
• Opportunity to build data tools from the ground up
• Collaborative work environment with external partners and stakeholders
• Continuous learning and innovation
• Dynamic work environment with a range of responsibilities
• Equal employment opportunity for people of all backgrounds and identities