Data Scientist

About the Company

KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. Our objective is to achieve a step-change improvement in exploration success by discovering more tier 1 resources, faster, and with fewer failures.

Responsibilities

• Help develop KoBold’s proprietary software exploration tools
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into proprietary data systems
• 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 data
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data
• Present to and collaborate with external partners and stakeholders

Requirements

• Advanced degree in physical sciences, engineering, computer science, or mathematics
• Minimum 4 years experience post PhD or 8 years post MS
• Extensive experience with Python and its data science packages
• Proficiency in collaborative software development (git) and CI/CD pipelines
• Experience with cloud computing resources and building predictive models
• Strong knowledge of applied statistics, Bayesian inference, and machine learning algorithms
• Experience with geospatial analyses and visualizations
• Ability to travel internationally to exploration sites

Preferred Qualifications

• Experience creating machine learning models on geospatial data
• Knowledge of geostatistics
• Experience with image processing or computer vision
• Experience with distributed computing applications for machine learning