Applied Scientist

Core responsibilities:

• Design, develop, and deploy new mineral exploration data collection instruments and methods
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust
• Find and curate a wide variety of geoscientific data and integrate it into KoBold's proprietary data system
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data to guide targeting efforts

This role accelerates discovery of critical battery metals needed for electric vehicles, renewable energy, and data centers, helping transition to clean energy while using materially less capital than industry average.

Required qualifications:

• Demonstrated ability to quickly absorb and synthesize complex information with high intellectual rigor
• Extensive experience with physical measurement and data analysis systems using optics, electromagnetism, radiation, and gravity
• Proficiency with Python's data science packages, SQL, cloud computing, and collaborative software development
• Experience building predictive models, applying them to different problems, and evaluating results
• Ability to take ownership of large projects and explain technical problems to domain experts

Compensation and benefits:

• Salary range: $125,000 - $235,000 USD
• Equity compensation
• Medical, dental, and vision insurance
• 401k retirement plan
• Short & long term disability and life insurance
• Paid sick time and parental leave

KoBold builds AI models for mineral exploration and deploys those models alongside novel sensors to guide exploration programs, aiming to discover critical metals for clean energy transition with less capital than industry average.