• Technical skills, including 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
• Cloud computing resources
• Building predictive models, applying them to different problems, and evaluating and interpreting the results
• Data from a variety of physical systems
• Geospatial analyses and visualizations
• Broad skills in and knowledge of applied statistics
• Substantial understanding of Machine Learning algorithms
• An advanced degree in the physical sciences, engineering, computer science, or mathematics
• A minimum of 3 years post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Senior Data Scientist, Staff Data Scientist, and Principal Data Scientist with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive
• Experience leading technical teams to apply novel scientific approaches to core exploration problems
• Ability to design, scope and implement technical solutions to novel exploration problems
• Enjoys constantly learning such that you are driving insights and innovations
• Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers
• 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

Desirable

• In this role, you will build predictive models and apply a wide range of 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
• 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 our targeting efforts and inform our acquisition and exploration decisions
• Present to and collaborate with our external partners and stakeholders