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. The company aims 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 data science packages and software engineering practices
• Proficiency with git, unit/integration testing, and CI/CD pipelines
• Experience with cloud computing resources and building predictive models
• Experience with geospatial analyses and visualizations
• Strong knowledge of applied statistics, Bayesian inference, and machine learning algorithms
• Ability to travel internationally with a valid passport

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