Senior Data Scientist

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 working closely with geoscientists to incorporate understanding of chemical and physical processes, creating geologic predictions, designing field programs, and using data to reduce uncertainty and guide future exploration. The Senior Data Scientist will also be responsible for developing proprietary software exploration tools, curating geoscientific data, and applying various data processing techniques.

• 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
• Proficiency in SQL and familiarity with non-relational databases
• Knowledge of cloud computing resources
• Ability to develop proprietary software exploration tools
• Experience in finding and curating geospectral, geophysical, geochemical, geologic, and geographic data
• Expertise in building models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust
• Proficiency in creating effective visualizations for evaluating model performance and interacting with data
• Familiarity with data processing, statistical, and physics-based techniques applied to geoscientific data
• Strong presentation and collaboration skills with external partners and stakeholders.

• Competitive salary range of $140,000-$220,000
• Remote work opportunity, open to candidates residing in the United States or Canada
• Equal employment opportunity and affirmative action employer
• Opportunity to work with a fast-growing early-stage company
• Dynamic work environment with a range of responsibilities
• Ability to take ownership and responsibility of large projects
• Constant learning and driving insights and innovations
• Collaboration with domain experts who aren't software developers
• Independent prioritization of multiple tasks effectively